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#!/usr/bin/env python |
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# -*- coding: UTF-8 -*- |
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""" |
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python %prog study.file population.file gene-association.file |
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This program returns P-values for functional enrichment in a cluster of |
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study genes using Fisher's exact test, and corrected for multiple testing |
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(including Bonferroni, Holm, Sidak, and false discovery rate) |
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""" |
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from __future__ import absolute_import |
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__copyright__ = "Copyright (C) 2010-2017, H Tang et al., All rights reserved." |
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__author__ = "various" |
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import sys |
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import collections as cx |
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import datetime |
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from functools import partial |
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import multiprocessing |
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from goatools.multiple_testing import Methods, Bonferroni, Sidak, HolmBonferroni, FDR, calc_qval |
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from goatools.ratio import get_terms, count_terms, is_ratio_different |
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import goatools.wr_tbl as RPT |
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from goatools.pvalcalc import FisherFactory |
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from .multiprocessing_tools import p_map |
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def compute_pvals(allterms, calc_pvalue, go2studyitems, go2popitems, |
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study_n, pop_n): |
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results = {} |
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for term in allterms: |
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study_items = go2studyitems.get(term, set()) |
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study_count = len(study_items) |
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pop_items = go2popitems.get(term, set()) |
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pop_count = len(pop_items) |
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results[term] = calc_pvalue(study_count, study_n, pop_count, pop_n) |
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return results |
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class GOEnrichmentRecord(object): |
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"""Represents one result (from a single GOTerm) in the GOEnrichmentStudy |
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""" |
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namespace2NS = cx.OrderedDict([ |
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('biological_process', 'BP'), |
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('molecular_function', 'MF'), |
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('cellular_component', 'CC')]) |
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# Fields seen in every enrichment result |
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_fldsdefprt = [ |
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"GO", |
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"NS", |
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"enrichment", |
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"name", |
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"ratio_in_study", |
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"ratio_in_pop", |
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"p_uncorrected", |
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"depth", |
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"study_count", |
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"study_items"] |
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_fldsdeffmt = ["%s"]*3 + ["%-30s"] + ["%d/%d"] * 2 + ["%.3g"] + ["%d"] * 2 + ["%15s"] |
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_flds = set(_fldsdefprt).intersection( |
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set(['study_items', 'study_count', 'study_n', 'pop_items', 'pop_count', 'pop_n'])) |
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def __init__(self, **kwargs): |
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# Methods seen in current enrichment result |
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self._methods = [] |
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for k, v in kwargs.items(): |
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setattr(self, k, v) |
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if k == 'ratio_in_study': |
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setattr(self, 'study_count', v[0]) |
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setattr(self, 'study_n', v[1]) |
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if k == 'ratio_in_pop': |
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setattr(self, 'pop_count', v[0]) |
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setattr(self, 'pop_n', v[1]) |
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self._init_enrichment() |
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self.goterm = None # the reference to the GOTerm |
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def get_method_name(self): |
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"""Return name of first method in the _methods list.""" |
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return self._methods[0].fieldname |
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def get_pvalue(self): |
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"""Returns pval for 1st method, if it exists. Else returns uncorrected pval.""" |
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if self._methods: |
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return getattr(self, "p_{m}".format(m=self.get_method_name())) |
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return getattr(self, "p_uncorrected") |
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def set_corrected_pval(self, nt_method, pvalue): |
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"""Add object attribute based on method name.""" |
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self._methods.append(nt_method) |
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fieldname = "".join(["p_", nt_method.fieldname]) |
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setattr(self, fieldname, pvalue) |
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def __str__(self, indent=False): |
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field_data = [getattr(self, f, "n.a.") for f in self._fldsdefprt[:-1]] + \ |
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[getattr(self, "p_{}".format(m.fieldname)) for m in self._methods] + \ |
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[", ".join(sorted(getattr(self, self._fldsdefprt[-1], set())))] |
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fldsdeffmt = self._fldsdeffmt |
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field_formatter = fldsdeffmt[:-1] + ["%.3g"]*len(self._methods) + [fldsdeffmt[-1]] |
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self._chk_fields(field_data, field_formatter) |
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# default formatting only works for non-"n.a" data |
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for i, f in enumerate(field_data): |
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if f == "n.a.": |
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field_formatter[i] = "%s" |
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# print dots to show the level of the term |
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dots = self.get_indent_dots() if indent else "" |
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prtdata = "\t".join(a % b for (a, b) in zip(field_formatter, field_data)) |
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return "".join([dots, prtdata]) |
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def get_indent_dots(self): |
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"""Get a string of dots ("....") representing the level of the GO term.""" |
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return "." * self.goterm.level if self.goterm is not None else "" |
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@staticmethod |
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def _chk_fields(field_data, field_formatter): |
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"""Check that expected fields are present.""" |
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if len(field_data) == len(field_formatter): |
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return |
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len_dat = len(field_data) |
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len_fmt = len(field_formatter) |
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msg = [ |
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"FIELD DATA({d}) != FORMATTER({f})".format(d=len_dat, f=len_fmt), |
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"DAT({N}): {D}".format(N=len_dat, D=field_data), |
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"FMT({N}): {F}".format(N=len_fmt, F=field_formatter)] |
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raise Exception("\n".join(msg)) |
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def __repr__(self): |
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return "GOEnrichmentRecord({GO})".format(GO=self.GO) |
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def set_goterm(self, goid): |
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"""Set goterm and copy GOTerm's name and namespace.""" |
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self.goterm = goid.get(self.GO, None) |
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present = self.goterm is not None |
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self.name = self.goterm.name if present else "n.a." |
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self.NS = self.namespace2NS[self.goterm.namespace] if present else "XX" |
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def _init_enrichment(self): |
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"""Mark as 'enriched' or 'purified'.""" |
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self.enrichment = 'e' if ((1.0 * self.study_count / self.study_n) > |
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(1.0 * self.pop_count / self.pop_n)) else 'p' |
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def update_remaining_fldsdefprt(self, min_ratio=None): |
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"""Finish updating self (GOEnrichmentRecord) field, is_ratio_different.""" |
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self.is_ratio_different = is_ratio_different(min_ratio, self.study_count, |
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self.study_n, self.pop_count, self.pop_n) |
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# ------------------------------------------------------------------------------------- |
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# Methods for getting flat namedtuple values from GOEnrichmentRecord object |
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def get_prtflds_default(self): |
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"""Get default fields.""" |
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return self._fldsdefprt[:-1] + \ |
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["p_{M}".format(M=m.fieldname) for m in self._methods] + \ |
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[self._fldsdefprt[-1]] |
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def get_prtflds_all(self): |
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"""When converting to a namedtuple, get all possible fields in their original order.""" |
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flds = [] |
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dont_add = set(['_parents', '_methods']) |
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# Fields: GO NS enrichment name ratio_in_study ratio_in_pop p_uncorrected |
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# depth study_count p_sm_bonferroni p_fdr_bh study_items |
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self._flds_append(flds, self.get_prtflds_default(), dont_add) |
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# Fields: GO NS goterm |
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# ratio_in_pop pop_n pop_count pop_items name |
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# ratio_in_study study_n study_count study_items |
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# _methods enrichment p_uncorrected p_sm_bonferroni p_fdr_bh |
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self._flds_append(flds, vars(self).keys(), dont_add) |
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# Fields: name level is_obsolete namespace id depth parents children _parents alt_ids |
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self._flds_append(flds, vars(self.goterm).keys(), dont_add) |
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return flds |
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@staticmethod |
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def _flds_append(flds, addthese, dont_add): |
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"""Retain order of fields as we add them once to the list.""" |
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for fld in addthese: |
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if fld not in flds and fld not in dont_add: |
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flds.append(fld) |
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def get_field_values(self, fldnames, rpt_fmt=True): |
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"""Get flat namedtuple fields for one GOEnrichmentRecord.""" |
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row = [] |
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# Loop through each user field desired |
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for fld in fldnames: |
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# 1. Check the GOEnrichmentRecord's attributes |
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val = getattr(self, fld, None) |
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if val is not None: |
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if rpt_fmt: |
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val = self._get_rpt_fmt(fld, val) |
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row.append(val) |
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else: |
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# 2. Check the GO object for the field |
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val = getattr(self.goterm, fld, None) |
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if rpt_fmt: |
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val = self._get_rpt_fmt(fld, val) |
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if val is not None: |
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row.append(val) |
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else: |
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# 3. Field not found, raise Exception |
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self._err_fld(fld, fldnames, row) |
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if rpt_fmt: |
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assert not isinstance(val, list), \ |
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"UNEXPECTED LIST: FIELD({F}) VALUE({V}) FMT({P})".format( |
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P=rpt_fmt, F=fld, V=val) |
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return row |
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@staticmethod |
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def _get_rpt_fmt(fld, val): |
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"""Return values in a format amenable to printing in a table.""" |
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if fld.startswith("ratio_"): |
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return "{N}/{TOT}".format(N=val[0], TOT=val[1]) |
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elif fld in set(['study_items', 'pop_items', 'alt_ids']): |
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return ", ".join([str(v) for v in sorted(val)]) |
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return val |
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def _err_fld(self, fld, fldnames): |
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"""Unrecognized field. Print detailed Failure message.""" |
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msg = ['ERROR. UNRECOGNIZED FIELD({F})'.format(F=fld)] |
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actual_flds = set(self.get_prtflds_default() + self.goterm.__dict__.keys()) |
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bad_flds = set(fldnames).difference(set(actual_flds)) |
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if bad_flds: |
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msg.append("\nGOEA RESULT FIELDS: {}".format(" ".join(self._fldsdefprt))) |
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msg.append("GO FIELDS: {}".format(" ".join(self.goterm.__dict__.keys()))) |
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msg.append("\nFATAL: {N} UNEXPECTED FIELDS({F})\n".format( |
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N=len(bad_flds), F=" ".join(bad_flds))) |
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msg.append(" {N} User-provided fields:".format(N=len(fldnames))) |
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for idx, fld in enumerate(fldnames, 1): |
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mrk = "ERROR -->" if fld in bad_flds else "" |
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msg.append(" {M:>9} {I:>2}) {F}".format(M=mrk, I=idx, F=fld)) |
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raise Exception("\n".join(msg)) |
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class GOEnrichmentStudy(object): |
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"""Runs Fisher's exact test, as well as multiple corrections |
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""" |
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# Default Excel table column widths for GOEA results |
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default_fld2col_widths = { |
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'NS' : 3, |
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'GO' : 12, |
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'level' : 3, |
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'enrichment': 1, |
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'name' : 60, |
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'ratio_in_study': 8, |
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'ratio_in_pop' : 12, |
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'study_items' : 15, |
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} |
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def __init__(self, pop, assoc, obo_dag, propagate_counts=True, alpha=.05, methods=None, **kws): |
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self.log = kws.get('log', sys.stdout) |
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# -1 avoids freezing of the machine: |
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self.n_cores = kws.get('n_cores', multiprocessing.cpu_count() - 1) |
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self._run_multitest = { |
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'local':lambda iargs: self._run_multitest_local(iargs), |
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'statsmodels':lambda iargs: self._run_multitest_statsmodels(iargs)} |
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self.pop = pop |
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self.pop_n = len(pop) |
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self.assoc = assoc |
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self.obo_dag = obo_dag |
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self.alpha = alpha |
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if methods is None: |
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methods = ["bonferroni", "sidak", "holm"] |
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self.methods = Methods(methods) |
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self.pval_obj = FisherFactory(**kws).pval_obj |
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if propagate_counts: |
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sys.stderr.write("Propagating term counts to parents ..\n") |
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obo_dag.update_association(assoc) |
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self.go2popitems = get_terms("population", pop, assoc, obo_dag, self.log) |
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def run_study(self, study, **kws): |
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"""Run Gene Ontology Enrichment Study (GOEA) on study ids.""" |
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# Key-word arguments: |
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methods = Methods(kws['methods']) if 'methods' in kws else self.methods |
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alpha = kws['alpha'] if 'alpha' in kws else self.alpha |
|
284
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log = kws['log'] if 'log' in kws else self.log |
|
285
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# Calculate uncorrected pvalues |
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286
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results = self._get_pval_uncorr(study, log) |
|
287
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if not results: |
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288
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return [] |
|
289
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|
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290
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# Do multipletest corrections on uncorrected pvalues and update results |
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291
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self._run_multitest_corr(results, methods, alpha, study, log) |
|
292
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293
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for rec in results: |
|
294
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# get go term for name and level |
|
295
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|
rec.set_goterm(self.obo_dag) |
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296
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|
297
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# 'keep_if' can be used to keep only significant GO terms. Example: |
|
298
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# >>> keep_if = lambda nt: nt.p_fdr_bh < 0.05 # if results are significant |
|
299
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# >>> goea_results = goeaobj.run_study(geneids_study, keep_if=keep_if) |
|
300
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if 'keep_if' in kws: |
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301
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keep_if = kws['keep_if'] |
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302
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results = [r for r in results if keep_if(r)] |
|
303
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304
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# Default sort order: First, sort by BP, MF, CC. Second, sort by pval |
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305
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results.sort(key=lambda r: [r.NS, r.p_uncorrected]) |
|
306
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307
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|
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if log is not None: |
|
308
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|
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log.write(" {MSG}\n".format(MSG="\n ".join(self.get_results_msg(results, study)))) |
|
309
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|
310
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return results # list of GOEnrichmentRecord objects |
|
311
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312
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def run_study_nts(self, study, **kws): |
|
313
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"""Run GOEA on study ids. Return results as a list of namedtuples.""" |
|
314
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|
|
goea_results = self.run_study(study, **kws) |
|
315
|
|
|
return get_goea_nts_all(goea_results) |
|
316
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|
317
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def get_results_msg(self, results, study): |
|
318
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"""Return summary for GOEA results.""" |
|
319
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|
|
# To convert msg list to string: "\n".join(msg) |
|
320
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|
|
msg = [] |
|
321
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if results: |
|
322
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|
|
stu_items, num_gos_stu = self.get_item_cnt(results, "study_items") |
|
323
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|
|
pop_items, num_gos_pop = self.get_item_cnt(results, "pop_items") |
|
324
|
|
|
msg.append("{M:,} GO terms are associated with {N:,} of {NT:,} study items".format( |
|
325
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|
|
N=len(stu_items), NT=len(set(study)), M=num_gos_stu)) |
|
326
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|
|
msg.append("{M:,} GO terms are associated with {N:,} of {NT:,} population items".format( |
|
327
|
|
|
N=len(pop_items), NT=self.pop_n, M=num_gos_pop)) |
|
328
|
|
|
return msg |
|
329
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|
|
|
|
330
|
|
|
def _get_pval_uncorr(self, study, log=sys.stdout): |
|
331
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|
|
"""Calculate the uncorrected pvalues for study items.""" |
|
332
|
|
|
if log is not None: |
|
333
|
|
|
log.write("Calculating uncorrected p-values using {PFNC}\n".format(PFNC=self.pval_obj.name)) |
|
334
|
|
|
go2studyitems = get_terms("study", study, self.assoc, self.obo_dag, log) |
|
335
|
|
|
pop_n, study_n = self.pop_n, len(study) |
|
336
|
|
|
allterms = set(go2studyitems.keys()).union(set(self.go2popitems.keys())) |
|
337
|
|
|
|
|
338
|
|
|
n_cores = self.n_cores |
|
339
|
|
|
|
|
340
|
|
|
# for smaller sizes starup/shutdown of a multiprocessing Pool is too expensive |
|
341
|
|
|
# limit is based on some heursistincs on a recent Mac. |
|
342
|
|
|
if len(allterms) < 100: |
|
343
|
|
|
n_cores = 1 |
|
344
|
|
|
|
|
345
|
|
|
log.write("use {} cores for computing pvalues\n".format(n_cores)) |
|
346
|
|
|
|
|
347
|
|
|
allterms = list(allterms) |
|
348
|
|
|
fragments = [allterms[i::n_cores] for i in range(n_cores)] |
|
349
|
|
|
|
|
350
|
|
|
# bind arguments, so that remote_func only depends on fragment of terms to process: |
|
351
|
|
|
calc_pvalue = self.pval_obj.calc_pvalue |
|
352
|
|
|
remote_func = partial(compute_pvals, calc_pvalue=calc_pvalue, go2studyitems=go2studyitems, |
|
353
|
|
|
go2popitems=self.go2popitems, study_n=study_n, pop_n=pop_n) |
|
354
|
|
|
|
|
355
|
|
|
|
|
356
|
|
|
if n_cores == 1: |
|
357
|
|
|
all_p_values = [remote_func(fragments[0])] |
|
358
|
|
|
else: |
|
359
|
|
|
# if self.pval_obj.log is a file handle, which we can not serialize, we could not |
|
360
|
|
|
# transfer self.pval_obj.calc_pvalue to another python process with multiprocessing. |
|
361
|
|
|
# therefore we "patch" the object which will later be restored again. |
|
362
|
|
|
old = self.pval_obj.log |
|
363
|
|
|
self.pval_obj.log = None |
|
364
|
|
|
p = multiprocessing.Pool(n_cores) |
|
365
|
|
|
try: |
|
366
|
|
|
all_p_values = p_map(p, remote_func, fragments) |
|
367
|
|
|
finally: |
|
368
|
|
|
# restore patched file handle |
|
369
|
|
|
self.pval_obj.log = old |
|
370
|
|
|
# release memory |
|
371
|
|
|
p.terminate() |
|
372
|
|
|
|
|
373
|
|
|
results = [] |
|
374
|
|
|
|
|
375
|
|
|
for p_values_map in all_p_values: |
|
376
|
|
|
|
|
377
|
|
|
for term, p_value in p_values_map.items(): |
|
378
|
|
|
|
|
379
|
|
|
study_items = go2studyitems.get(term, set()) |
|
380
|
|
|
study_count = len(study_items) |
|
381
|
|
|
pop_items = self.go2popitems.get(term, set()) |
|
382
|
|
|
pop_count = len(pop_items) |
|
383
|
|
|
|
|
384
|
|
|
one_record = GOEnrichmentRecord( |
|
385
|
|
|
GO=term, |
|
386
|
|
|
p_uncorrected=p_value, |
|
387
|
|
|
study_items=study_items, |
|
388
|
|
|
pop_items=pop_items, |
|
389
|
|
|
ratio_in_study=(study_count, study_n), |
|
390
|
|
|
ratio_in_pop=(pop_count, pop_n)) |
|
391
|
|
|
|
|
392
|
|
|
results.append(one_record) |
|
393
|
|
|
|
|
394
|
|
|
return results |
|
395
|
|
|
|
|
396
|
|
|
def _run_multitest_corr(self, results, usr_methods, alpha, study, log): |
|
397
|
|
|
"""Do multiple-test corrections on uncorrected pvalues.""" |
|
398
|
|
|
assert 0 < alpha < 1, "Test-wise alpha must fall between (0, 1)" |
|
399
|
|
|
pvals = [r.p_uncorrected for r in results] |
|
400
|
|
|
NtMt = cx.namedtuple("NtMt", "results pvals alpha nt_method study") |
|
401
|
|
|
|
|
402
|
|
|
for nt_method in usr_methods: |
|
403
|
|
|
ntmt = NtMt(results, pvals, alpha, nt_method, study) |
|
404
|
|
|
if log is not None: |
|
405
|
|
|
log.write("Running multitest correction: {MSRC} {METHOD}\n".format( |
|
406
|
|
|
MSRC=ntmt.nt_method.source, METHOD=ntmt.nt_method.method)) |
|
407
|
|
|
self._run_multitest[nt_method.source](ntmt) |
|
408
|
|
|
|
|
409
|
|
|
def _run_multitest_statsmodels(self, ntmt): |
|
410
|
|
|
"""Use multitest mthods that have been implemented in statsmodels.""" |
|
411
|
|
|
# Only load statsmodels if it is used |
|
412
|
|
|
multipletests = self.methods.get_statsmodels_multipletests() |
|
413
|
|
|
results = multipletests(ntmt.pvals, ntmt.alpha, ntmt.nt_method.method) |
|
414
|
|
|
pvals_corrected = results[1] # reject_lst, pvals_corrected, alphacSidak, alphacBonf |
|
415
|
|
|
self._update_pvalcorr(ntmt, pvals_corrected) |
|
416
|
|
|
|
|
417
|
|
|
def _run_multitest_local(self, ntmt): |
|
418
|
|
|
"""Use multitest mthods that have been implemented locally.""" |
|
419
|
|
|
corrected_pvals = None |
|
420
|
|
|
method = ntmt.nt_method.method |
|
421
|
|
|
if method == "bonferroni": |
|
422
|
|
|
corrected_pvals = Bonferroni(ntmt.pvals, ntmt.alpha).corrected_pvals |
|
423
|
|
|
elif method == "sidak": |
|
424
|
|
|
corrected_pvals = Sidak(ntmt.pvals, ntmt.alpha).corrected_pvals |
|
425
|
|
|
elif method == "holm": |
|
426
|
|
|
corrected_pvals = HolmBonferroni(ntmt.pvals, ntmt.alpha).corrected_pvals |
|
427
|
|
|
elif method == "fdr": |
|
428
|
|
|
# get the empirical p-value distributions for FDR |
|
429
|
|
|
term_pop = getattr(self, 'term_pop', None) |
|
430
|
|
|
if term_pop is None: |
|
431
|
|
|
term_pop = count_terms(self.pop, self.assoc, self.obo_dag) |
|
432
|
|
|
p_val_distribution = calc_qval(len(ntmt.study), |
|
433
|
|
|
self.pop_n, |
|
434
|
|
|
self.pop, self.assoc, |
|
435
|
|
|
term_pop, self.obo_dag) |
|
436
|
|
|
corrected_pvals = FDR(p_val_distribution, |
|
437
|
|
|
ntmt.results, ntmt.alpha).corrected_pvals |
|
438
|
|
|
|
|
439
|
|
|
self._update_pvalcorr(ntmt, corrected_pvals) |
|
440
|
|
|
|
|
441
|
|
|
@staticmethod |
|
442
|
|
|
def _update_pvalcorr(ntmt, corrected_pvals): |
|
443
|
|
|
"""Add data members to store multiple test corrections.""" |
|
444
|
|
|
if corrected_pvals is None: |
|
445
|
|
|
return |
|
446
|
|
|
for rec, val in zip(ntmt.results, corrected_pvals): |
|
447
|
|
|
rec.set_corrected_pval(ntmt.nt_method, val) |
|
448
|
|
|
|
|
449
|
|
|
# Methods for writing results into tables: text, tab-separated, Excel spreadsheets |
|
450
|
|
|
def wr_txt(self, fout_txt, goea_results, prtfmt=None, **kws): |
|
451
|
|
|
"""Print GOEA results to text file.""" |
|
452
|
|
|
if not goea_results: |
|
453
|
|
|
sys.stdout.write(" 0 GOEA results. NOT WRITING {FOUT}\n".format(FOUT=fout_txt)) |
|
454
|
|
|
return |
|
455
|
|
|
with open(fout_txt, 'w') as prt: |
|
456
|
|
|
data_nts = self.prt_txt(prt, goea_results, prtfmt, **kws) |
|
457
|
|
|
log = self.log if self.log is not None else sys.stdout |
|
458
|
|
|
log.write(" {N:>5} GOEA results for {CUR:5} study items. WROTE: {F}\n".format( |
|
459
|
|
|
N=len(data_nts), |
|
460
|
|
|
CUR=len(get_study_items(goea_results)), |
|
461
|
|
|
F=fout_txt)) |
|
462
|
|
|
|
|
463
|
|
|
def prt_txt(self, prt, goea_results, prtfmt=None, **kws): |
|
464
|
|
|
"""Print GOEA results in text format.""" |
|
465
|
|
|
if prtfmt is None: |
|
466
|
|
|
prtfmt = "{GO} {NS} {p_uncorrected:5.2e} {study_count:>5} {name}\n" |
|
467
|
|
|
prtfmt = self.adjust_prtfmt(prtfmt) |
|
468
|
|
|
prt_flds = RPT.get_fmtflds(prtfmt) |
|
469
|
|
|
data_nts = get_goea_nts_prt(goea_results, prt_flds, **kws) |
|
470
|
|
|
RPT.prt_txt(prt, data_nts, prtfmt, prt_flds, **kws) |
|
471
|
|
|
return data_nts |
|
472
|
|
|
|
|
473
|
|
|
def wr_xlsx(self, fout_xlsx, goea_results, **kws): |
|
474
|
|
|
"""Write a xlsx file.""" |
|
475
|
|
|
# kws: prt_if indent |
|
476
|
|
|
prt_flds = kws.get('prt_flds', self.get_prtflds_default(goea_results)) |
|
477
|
|
|
xlsx_data = get_goea_nts_prt(goea_results, prt_flds, **kws) |
|
478
|
|
|
if 'fld2col_widths' not in kws: |
|
479
|
|
|
kws['fld2col_widths'] = {f:self.default_fld2col_widths.get(f, 8) for f in prt_flds} |
|
480
|
|
|
RPT.wr_xlsx(fout_xlsx, xlsx_data, **kws) |
|
481
|
|
|
|
|
482
|
|
|
def wr_tsv(self, fout_tsv, goea_results, **kws): |
|
483
|
|
|
"""Write tab-separated table data to file""" |
|
484
|
|
|
prt_flds = kws.get('prt_flds', self.get_prtflds_default(goea_results)) |
|
485
|
|
|
tsv_data = get_goea_nts_prt(goea_results, prt_flds, **kws) |
|
486
|
|
|
RPT.wr_tsv(fout_tsv, tsv_data, **kws) |
|
487
|
|
|
|
|
488
|
|
|
def prt_tsv(self, prt, goea_results, **kws): |
|
489
|
|
|
"""Write tab-separated table data""" |
|
490
|
|
|
prt_flds = kws.get('prt_flds', self.get_prtflds_default(goea_results)) |
|
491
|
|
|
tsv_data = get_goea_nts_prt(goea_results, prt_flds, **kws) |
|
492
|
|
|
RPT.prt_tsv(prt, tsv_data, prt_flds, **kws) |
|
493
|
|
|
|
|
494
|
|
|
@staticmethod |
|
495
|
|
|
def adjust_prtfmt(prtfmt): |
|
496
|
|
|
"""Adjust format_strings for legal values.""" |
|
497
|
|
|
prtfmt = prtfmt.replace("{p_holm-sidak", "{p_holm_sidak") |
|
498
|
|
|
prtfmt = prtfmt.replace("{p_simes-hochberg", "{p_simes_hochberg") |
|
499
|
|
|
return prtfmt |
|
500
|
|
|
|
|
501
|
|
|
@staticmethod |
|
502
|
|
|
def get_NS2nts(results, fldnames=None, **kws): |
|
503
|
|
|
"""Get namedtuples of GOEA results, split into BP, MF, CC.""" |
|
504
|
|
|
NS2nts = cx.defaultdict(list) |
|
505
|
|
|
nts = get_goea_nts_all(results, fldnames, **kws) |
|
506
|
|
|
for nt in nts: |
|
507
|
|
|
NS2nts[nt.NS].append(nt) |
|
508
|
|
|
return NS2nts |
|
509
|
|
|
|
|
510
|
|
|
@staticmethod |
|
511
|
|
|
def get_item_cnt(results, attrname="study_items"): |
|
512
|
|
|
"""Get all study or population items (e.g., geneids).""" |
|
513
|
|
|
items = set() |
|
514
|
|
|
go_cnt = 0 |
|
515
|
|
|
for rec in results: |
|
516
|
|
|
if hasattr(rec, attrname): |
|
517
|
|
|
items_cur = getattr(rec, attrname) |
|
518
|
|
|
# Only count GO term if there are items in the set. |
|
519
|
|
|
if len(items_cur) != 0: |
|
520
|
|
|
items |= items_cur |
|
521
|
|
|
go_cnt += 1 |
|
522
|
|
|
return items, go_cnt |
|
523
|
|
|
|
|
524
|
|
|
@staticmethod |
|
525
|
|
|
def get_prtflds_default(results): |
|
526
|
|
|
"""Get default fields names. Used in printing GOEA results. |
|
527
|
|
|
|
|
528
|
|
|
Researchers can control which fields they want to print in the GOEA results |
|
529
|
|
|
or they can use the default fields. |
|
530
|
|
|
""" |
|
531
|
|
|
if results: |
|
532
|
|
|
return results[0].get_prtflds_default() |
|
533
|
|
|
return [] |
|
534
|
|
|
|
|
535
|
|
|
@staticmethod |
|
536
|
|
|
def print_summary(results, min_ratio=None, indent=False, pval=0.05): |
|
537
|
|
|
"""Print summary.""" |
|
538
|
|
|
from .version import __version__ as version |
|
539
|
|
|
|
|
540
|
|
|
# Header contains provenance and parameters |
|
541
|
|
|
print("# Generated by GOATOOLS v{0} ({1})".format(version, datetime.date.today())) |
|
542
|
|
|
print("# min_ratio={0} pval={1}".format(min_ratio, pval)) |
|
543
|
|
|
|
|
544
|
|
|
# field names for output |
|
545
|
|
|
if results: |
|
546
|
|
|
print("\t".join(GOEnrichmentStudy.get_prtflds_default(results))) |
|
547
|
|
|
|
|
548
|
|
|
for rec in results: |
|
549
|
|
|
# calculate some additional statistics |
|
550
|
|
|
# (over_under, is_ratio_different) |
|
551
|
|
|
rec.update_remaining_fldsdefprt(min_ratio=min_ratio) |
|
552
|
|
|
|
|
553
|
|
|
if pval is not None and rec.p_uncorrected >= pval: |
|
554
|
|
|
continue |
|
555
|
|
|
|
|
556
|
|
|
if rec.is_ratio_different: |
|
557
|
|
|
print(rec.__str__(indent=indent)) |
|
558
|
|
|
|
|
559
|
|
|
def wr_py_goea_results(self, fout_py, goea_results, **kws): |
|
560
|
|
|
"""Save GOEA results into Python package containing list of namedtuples.""" |
|
561
|
|
|
var_name = kws.get("var_name", "goea_results") |
|
562
|
|
|
docstring = kws.get("docstring", "") |
|
563
|
|
|
sortby = kws.get("sortby", None) |
|
564
|
|
|
if goea_results: |
|
565
|
|
|
from goatools.nt_utils import wr_py_nts |
|
566
|
|
|
nts_goea = goea_results |
|
567
|
|
|
# If list has GOEnrichmentRecords or verbose namedtuples, exclude some fields. |
|
568
|
|
|
if hasattr(goea_results[0], "_fldsdefprt") or hasattr(goea_results[0], 'goterm'): |
|
569
|
|
|
# Exclude some attributes from the namedtuple when saving results |
|
570
|
|
|
# to a Python file because the information is redundant or verbose. |
|
571
|
|
|
nts_goea = get_goea_nts_prt(goea_results) |
|
572
|
|
|
docstring = "\n".join([docstring, "# {VER}\n\n".format(VER=self.obo_dag.version)]) |
|
573
|
|
|
assert hasattr(nts_goea[0], '_fields') |
|
574
|
|
|
if sortby is None: |
|
575
|
|
|
sortby = lambda nt: getattr(nt, 'p_uncorrected') |
|
576
|
|
|
nts_goea = sorted(nts_goea, key=sortby) |
|
577
|
|
|
wr_py_nts(fout_py, nts_goea, docstring, var_name) |
|
578
|
|
|
|
|
579
|
|
|
def get_study_items(goea_results): |
|
580
|
|
|
"""Get all study items (e.g., geneids).""" |
|
581
|
|
|
study_items = set() |
|
582
|
|
|
for rec in goea_results: |
|
583
|
|
|
study_items |= rec.study_items |
|
584
|
|
|
return study_items |
|
585
|
|
|
|
|
586
|
|
|
def get_goea_nts_prt(goea_results, fldnames=None, **usr_kws): |
|
587
|
|
|
"""Return list of namedtuples removing fields which are redundant or verbose.""" |
|
588
|
|
|
kws = usr_kws.copy() |
|
589
|
|
|
if 'not_fldnames' not in kws: |
|
590
|
|
|
kws['not_fldnames'] = ['goterm', 'parents', 'children', 'id'] |
|
591
|
|
|
if 'rpt_fmt' not in kws: |
|
592
|
|
|
kws['rpt_fmt'] = True |
|
593
|
|
|
return get_goea_nts_all(goea_results, fldnames, **kws) |
|
594
|
|
|
|
|
595
|
|
|
def get_goea_nts_all(goea_results, fldnames=None, **kws): |
|
596
|
|
|
"""Get namedtuples containing user-specified (or default) data from GOEA results. |
|
597
|
|
|
|
|
598
|
|
|
Reformats data from GOEnrichmentRecord objects into lists of |
|
599
|
|
|
namedtuples so the generic table writers may be used. |
|
600
|
|
|
""" |
|
601
|
|
|
data_nts = [] # A list of namedtuples containing GOEA results |
|
602
|
|
|
if not goea_results: |
|
603
|
|
|
return data_nts |
|
604
|
|
|
keep_if = kws.get('keep_if', None) |
|
605
|
|
|
rpt_fmt = kws.get('rpt_fmt', False) |
|
606
|
|
|
indent = kws.get('indent', False) |
|
607
|
|
|
# I. FIELD (column) NAMES |
|
608
|
|
|
not_fldnames = kws.get('not_fldnames', None) |
|
609
|
|
|
if fldnames is None: |
|
610
|
|
|
fldnames = get_fieldnames(goea_results[0]) |
|
611
|
|
|
# Ia. Explicitly exclude specific fields from named tuple |
|
612
|
|
|
if not_fldnames is not None: |
|
613
|
|
|
fldnames = [f for f in fldnames if f not in not_fldnames] |
|
614
|
|
|
nttyp = cx.namedtuple("NtGoeaResults", " ".join(fldnames)) |
|
615
|
|
|
goid_idx = fldnames.index("GO") if 'GO' in fldnames else None |
|
616
|
|
|
# II. Loop through GOEA results stored in a GOEnrichmentRecord object |
|
617
|
|
|
for goerec in goea_results: |
|
618
|
|
|
vals = get_field_values(goerec, fldnames, rpt_fmt) |
|
619
|
|
|
if indent: |
|
620
|
|
|
vals[goid_idx] = "".join([goerec.get_indent_dots(), vals[goid_idx]]) |
|
621
|
|
|
ntobj = nttyp._make(vals) |
|
622
|
|
|
if keep_if is None or keep_if(ntobj): |
|
623
|
|
|
data_nts.append(ntobj) |
|
624
|
|
|
return data_nts |
|
625
|
|
|
|
|
626
|
|
|
def get_field_values(item, fldnames, rpt_fmt=None): |
|
627
|
|
|
"""Return fieldnames and values of either a namedtuple or GOEnrichmentRecord.""" |
|
628
|
|
|
if hasattr(item, "_fldsdefprt"): # Is a GOEnrichmentRecord |
|
629
|
|
|
return item.get_field_values(fldnames, rpt_fmt) |
|
630
|
|
|
if hasattr(item, "_fields"): # Is a namedtuple |
|
631
|
|
|
return [getattr(item, f) for f in fldnames] |
|
632
|
|
|
|
|
633
|
|
|
def get_fieldnames(item): |
|
634
|
|
|
"""Return fieldnames of either a namedtuple or GOEnrichmentRecord.""" |
|
635
|
|
|
if hasattr(item, "_fldsdefprt"): # Is a GOEnrichmentRecord |
|
636
|
|
|
return item.get_prtflds_all() |
|
637
|
|
|
if hasattr(item, "_fields"): # Is a namedtuple |
|
638
|
|
|
return item._fields |
|
639
|
|
|
|
|
640
|
|
|
# Copyright (C) 2010-2017, H Tang et al., All rights reserved. |
|
641
|
|
|
|
tanghaibao /
goatools
