Learn R Programming

highMLR (version 0.1.1)

Feature Selection for High Dimensional Survival Data

Description

Perform high dimensional Feature Selection in the presence of survival outcome. Based on Feature Selection method and different survival analysis, it will obtain the best markers with optimal threshold levels according to their effect on disease progression and produce the most consistent level according to those threshold values. The functions' methodology is based on by Sonabend et al (2021) and Bhattacharjee et al (2021) .

Copy Link

Version

Install

install.packages('highMLR')

Monthly Downloads

208

Version

0.1.1

License

GPL-3

Maintainer

Atanu Bhattacharjee

Last Published

July 18th, 2022

Functions in highMLR (0.1.1)

mlclassCox

Applications of machine learning in survival analysis by prognostic classification of genes by CoxPH model.
srdata

High dimensional protein gene expression data
mlhighCox

mlhighCox
mlhighHet

mlhighHet
mlhighKap

mlhighKap
mlclassKap

Applications of machine learning in survival analysis by prognostic classification of genes by Kaplan-Meier estimator.
mlhighFrail

mlhighFrail
hnscc

High dimensional head and neck cancer survival and gene expression data