data_cleanup: Data cleanup

In diogocamacho/nsmblR: Network inference ensemble modeler

Usage

data_cleanup(data, var_thr)

Arguments

data	Gene expression data matrix
var_thr	Percent variance of genes to be ignored. Eg, setting var_thr = 0.1 will remove the bottom 10

A list with ids of columns and rows to be removed before continuing analyses. Function to clean up the data. The function will eliminate genes with no measurements, genes of low variance, and columns that have no measurement. set.seed(123) D <- replicate(expr = ceiling(runif(n = 100, min = 1, max = 1000)), n = 10, simplify = TRUE) cd <- data_cleanup(data = D)

diogocamacho/nsmblR documentation built on Aug. 5, 2020, 1:20 a.m.