miniLogREval: miniLogReval: Assesses the performance of building a logistic...

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

miniLogReval: Assesses the performance of building a logistic regression model on one test of data 'trainTab' and assessing it on a second 'testTab'

Description

miniLogReval: Assesses the performance of building a logistic regression model on one test of data 'trainTab' and assessing it on a second 'testTab'

Usage

miniLogREval(
  trainTab,
  testTab,
  mol.feature = "Gene",
  feature.val = "mRNALevels"
)

Arguments

trainTab	- a tabular form of data with three columns
testTab	- a tabular form of data with three columns
mol.feature	is a list of column features, with the names of the column features representing the measurements. e.g. mRNALevels='Gene', or Phosphosite='site'

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