drugMolRegression: working on this function still The goal is to use a basic...

In PNNL-CompBio/amlresistancenetworks: Calculates networks that lead to AML resistance to drugs

working on this function still The goal is to use a basic elastic net regression to identify how well each molecular feature predicts outcome as well as how many features are selected

Description

working on this function still The goal is to use a basic elastic net regression to identify how well each molecular feature predicts outcome as well as how many features are selected

Usage

drugMolRegression(
  clin.data,
  mol.data,
  mol.feature,
  mol.feature.name = "Gene",
  category = "Condition",
  doEnet = FALSE
)

Arguments

clin.data	is tidied clinical data
mol.data	is tidied table of molecular data
mol.feature	is name of column to select from mol.data
mol.feature.name	is the name of the feature, default is 'Gene'
category	can be either Condition or family

PNNL-CompBio/amlresistancenetworks documentation built on Feb. 8, 2025, 11:27 a.m.