gseapy/gsea.py
def runSamplesPermu(self, df, gmt=None):
        """Single Sample GSEA workflow with permutation procedure"""

        assert self.min_size <= self.max_size
        mkdirs(self.outdir)
        self.resultsOnSamples = OrderedDict()
        outdir = self.outdir
        # iter throught each sample
        for name, ser in df.iteritems():
            self.outdir = os.path.join(outdir, str(name))
            self._logger.info("Run Sample: %s " % name)
            mkdirs(self.outdir)
            # sort ranking values from high to low or reverse
            dat2 = ser.sort_values(ascending=self.ascending)
            # reset integer index, or caused unwanted problems
            # df.reset_index(drop=True, inplace=True)

            # compute ES, NES, pval, FDR, RES
            gsea_results, hit_ind,rank_ES, subsets = gsea_compute(data=dat2, n=self.permutation_num, gmt=gmt,
                                                                  weighted_score_type=self.weighted_score_type,
                                                                  permutation_type='gene_set', method=None,
                                                                  pheno_pos='', pheno_neg='',
                                                                  classes=None, ascending=self.ascending,
                                                                  processes=self._processes,
                                                                  seed=self.seed, single=True, scale=self.scale)

            # write file
            res_zip = zip(subsets, list(gsea_results), hit_ind, rank_ES)
            self._save_results(zipdata=res_zip, outdir=self.outdir, module=self.module,
                                       gmt=gmt, rank_metric=dat2, permutation_type="gene_sets")
            self.resultsOnSamples[name] = self.res2d.es
            # plotting
            if self._noplot: continue
            self._logger.info("Plotting Sample: %s \n" % name)
            self._plotting(rank_metric=dat2, results=self.results,
                           graph_num=self.graph_num, outdir=self.outdir,
                           figsize=self.figsize, format=self.format)

        # save es, nes to file
        self._save(outdir)

        return
def runSamplesPermu(self, df, gmt=None):
        """Single Sample GSEA workflow with permutation procedure"""

        assert self.min_size <= self.max_size
        mkdirs(self.outdir)
        self.resultsOnSamples = OrderedDict()
        outdir = self.outdir
        # iter throught each sample
        for name, ser in df.iteritems():
            self.outdir = os.path.join(outdir, str(name))
            self._logger.info("Run Sample: %s " % name)
            mkdirs(self.outdir)
            # sort ranking values from high to low or reverse
            dat2 = ser.sort_values(ascending=self.ascending)
            # reset integer index, or caused unwanted problems
            # df.reset_index(drop=True, inplace=True)

            # compute ES, NES, pval, FDR, RES
            gsea_results, hit_ind,rank_ES, subsets = gsea_compute(data=dat2, n=self.permutation_num, gmt=gmt,
                                                                  weighted_score_type=self.weighted_score_type,
                                                                  permutation_type='gene_set', method=None,
                                                                  pheno_pos='', pheno_neg='',
                                                                  classes=None, ascending=self.ascending,
                                                                  processes=self._processes,
                                                                  seed=self.seed, single=True, scale=self.scale)

            # write file
            res_zip = zip(subsets, list(gsea_results), hit_ind, rank_ES)
            self._save_results(zipdata=res_zip, outdir=self.outdir, module=self.module,
                                       gmt=gmt, rank_metric=dat2, permutation_type="gene_sets")
            self.resultsOnSamples[name] = self.res2d.es
            # plotting
            if self._noplot: continue
            self._logger.info("Plotting Sample: %s \n" % name)
            self._plotting(rank_metric=dat2, results=self.results,
                           graph_num=self.graph_num, outdir=self.outdir,
                           figsize=self.figsize, format=self.format)

        # save es, nes to file
        self._save(outdir)

        return
Single Sample GSEA workflow with permutation procedure