get_lr_model: Training logistic regression model The function to train...

In zhangjing1589/CLnoncoMut: The Package to Find Clustered Noncoding Mutations in Cancer Genome

Description

Training logistic regression model The function to train logistic regression model of annotated genomic regions

Usage

get_lr_model(pos_annotation, pos_mut, lr_result)

Arguments

pos_annotation	the file contains genomic base pair features: base pair(bp), replicating time(reptime), TFBS signal(tfbs), GERP RS score(gerp), DNaseI signal(dnase), CpG Island(cpg), transcript status(gencode_anno)
pos_mut	the file contains somatic mutations(single base substitution) in ICGC database
lr_result	trainning result used to predict mutation probability for each genomic position

Value

None

zhangjing1589/CLnoncoMut documentation built on May 23, 2019, 4:06 a.m.