decoupler.get_top_targets

decoupler.get_top_targets(logFCs, pvals, contrast, name=None, net=None, source='source', target='target', weight='weight', sign_thr=1, lFCs_thr=0.0, fdr_corr=True)

Return significant target features for a given source and contrast. If no name or net are provided, return all significant features without subsetting.

Parameters:

logFCsDataFrame

Data-frame of logFCs (contrasts x features).

pvalsDataFrame

Data-frame of p-values (contrasts x features).

namestr

Name of the source.

contraststr

Name of the contrast (row).

netDataFrame, None

Network data-frame. If None, return without subsetting targets by it.

sourcestr

Column name in net with source nodes.

targetstr

Column name in net with target nodes.

weightstr

Column name in net with weights.

sign_thrfloat

Significance threshold for adjusted p-values.

lFCs_thrfloat

Significance threshold for logFCs.

Returns:

dfDataFrame

Dataframe containing the significant features.