buildFeatureMatrix: buildFeatureMatrix This function sits at the core of the...

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

buildFeatureMatrix This function sits at the core of the modeling by extracting features o finterest from the tidied tables and builds a matrix for regression with rows as patients and columns as gene

Description

buildFeatureMatrix This function sits at the core of the modeling by extracting features o finterest from the tidied tables and builds a matrix for regression with rows as patients and columns as gene

Usage

buildFeatureMatrix(
  tab,
  mol.feature = "Gene",
  sampname = "AML sample",
  feature.val = "mRNALevels"
)

Arguments

tab	The data table to build into a matrix
mol.feature	The molecular feature/column name to grab, default is 'Gene'
sampname	The name of the sample, default is 'AML sample'
feature.val	The name of the feature, default is 'mRNALevels'

Value

matrix

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