biotmle

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see biotmle.

Targeted Learning for Biomarker Discovery with Moderated Statistics


Bioconductor version: 3.6

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 asymptotically linear statistical parameters estimated via targeted minimum loss-based estimation (TMLE).

Author: Nima Hejazi [aut, cre, cph], Alan Hubbard [aut], Weixin Cai [ctb]

Maintainer: Nima Hejazi <nhejazi at berkeley.edu>

Citation (from within R, enter citation("biotmle")):

Installation

To install this package, start R (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("biotmle")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DifferentialExpression, GeneExpression, Microarray, RNASeq, Sequencing, Software
Version 1.3.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License file LICENSE
Depends R (>= 3.4)
Imports dplyr, magrittr, ggplot2, superheat, wesanderson, doFuture, future, stats, Matrix, methods, DBI, limma, BiocParallel, SummarizedExperiment, biotmleData(>= 1.1.1), SuperLearner, tmle
System Requirements
URL https://github.com/nhejazi/biotmle
Bug Reports https://github.com/nhejazi/biotmle/issues
See More
Suggests testthat, knitr, rmarkdown, BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package biotmle_1.3.0.tar.gz
Windows Binary biotmle_1.3.0.zip
Mac OS X 10.11 (El Capitan) biotmle_1.3.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/biotmle
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/biotmle
Package Short Url https://bioconductor.org/packages/biotmle/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive