In kstawiski/miRNAselector: miRNAselector - a package for biomarker selection based on high-throughput experiments.

Whole dataset:

suppressMessages(library(miRNAselector))
dane = data.table::fread("data_start.csv")
x = dplyr::select(dane, starts_with("hsa"))
DE = ks.miRNA_differential_expression(x, klasy = dane$Class,)
data.table::fwrite(DE, "DE_wholedataset.csv")
ks.table(DE)

Training set only:

suppressMessages(library(miRNAselector))
dane = data.table::fread("mixed_train.csv")
x = dplyr::select(dane, starts_with("hsa"))
DE = ks.miRNA_differential_expression(x, klasy = dane$Class,)
data.table::fwrite(DE, "DE.csv")
ks.table(DE)

kstawiski/miRNAselector documentation built on Oct. 10, 2020, 9:03 a.m.