get_genes_desc: Find features which separate the patient classes

In LucaGiudice/Simpati: Pathway-based classifier exploits patient similarity network paradigm

Description

Given a matrix of patient's features, this function ranks the features based on how much their distribution values are different between classes

Usage

get_genes_desc(mp, Aletter, Bletter)

Arguments

Aletter	The letter signature of the labels of the first class samples
Bletter	The letter signature of the labels of the second class samples
geno_p	Matrix of profiles (genes x samples)

Value

Produce a dataframe s.t. each row correspond to a gene situation the columns are: rank_dist (higher and more it differs between classes) diff_sd (higher and more its variance between classes is different)

LucaGiudice/Simpati documentation built on Jan. 27, 2022, 11:42 p.m.