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 variables by implementing an inferential procedure that combines a generalization of moderated statistics with targeted minimum loss estimates of the average treatment effect whose estimator admits an asymptotically linear representations (in terms of an efficient influence function).

Package details

AuthorNima Hejazi [aut, cre, cph] (<https://orcid.org/0000-0002-7127-2789>), Alan Hubbard [aut, ths] (<https://orcid.org/0000-0002-3769-0127>), Mark van der Laan [aut, ths] (<https://orcid.org/0000-0003-1432-5511>), Weixin Cai [ctb] (<https://orcid.org/0000-0003-2680-3066>)
Bioconductor views DifferentialExpression GeneExpression ImmunoOncology Microarray RNASeq Sequencing
MaintainerNima Hejazi <[email protected]>
Licensefile LICENSE
Version1.10.0
URL https://code.nimahejazi.org/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, 2019, 4:42 p.m.