drugMolRegressionEval: drugMolRegressionEval This is the primary function that runs...

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

drugMolRegressionEval This is the primary function that runs continuous regression (enet) on separate train and test sets of molecular features and drug responses. It will iterate through every drug in the table to create indivdiual models of each

Description

drugMolRegressionEval This is the primary function that runs continuous regression (enet) on separate train and test sets of molecular features and drug responses. It will iterate through every drug in the table to create indivdiual models of each

Usage

drugMolRegressionEval(
  clin.data,
  mol.data,
  mol.feature,
  mol.feature.name,
  test.clin,
  test.mol,
  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, e.g. Gene
mol.feature.name	the name of teh value to select from mol.data
test.clin	tidied clinical data to test
test.mol	tidieid molecular data to test
category	can be either Condition or family
doEnet	run elastic net instead of LASSO

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