biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery

This package facilitates the discovery of biomarkers from biological sequencing data (e.g., microarrays, RNA-seq) based on the associations of potential biomarkers with exposure and outcome variables by implementing an estimation procedure that combines a generalization of moderated statistics with targeted minimum loss-based estimates (TMLE) of parameters defined via causal inference (e.g., Average Treatment Effect) whose estimators admit asymptotically linear representations.

Package details

AuthorNima Hejazi [aut, cre, cph], Alan Hubbard [aut, ths], Weixin Cai [ctb]
Bioconductor views DifferentialExpression GeneExpression Microarray RNASeq Sequencing
MaintainerNima Hejazi <[email protected]>
Licensefile LICENSE
Version1.6.0
URL https://github.com/nhejazi/biotmle
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("biotmle")

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biotmle documentation built on Nov. 1, 2018, 3:17 a.m.