biotmle
This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see biotmle.
Moderated and Targeted Statistical Learning for Biomarker Discovery
Bioconductor version: 3.7
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.
Author: Nima Hejazi [aut, cre, cph], Alan Hubbard [aut, ths], Weixin Cai [ctb]
Maintainer: Nima Hejazi <nhejazi at berkeley.edu>
citation("biotmle")
):
Installation
To install this package, start R (version "3.5") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biotmle")
Identifying Biomarkers from an Exposure Variable | HTML | R Script |
Processing and Analyzing RNA-Seq Data | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | DifferentialExpression, GeneExpression, Microarray, RNASeq, Sequencing, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (7 years) |
License | file LICENSE |
Depends | R (>= 3.4) |
Imports | dplyr, ggplot2, ggsci, superheat, doFuture, future, stats, methods, limma, BiocParallel, SummarizedExperiment, tmle |
System Requirements | |
URL | https://github.com/nhejazi/biotmle |
Bug Reports | https://github.com/nhejazi/biotmle/issues |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, SuperLearner, Matrix, DBI, biotmleData(>= 1.1.1) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | biotmle_1.4.0.tar.gz |
Windows Binary | biotmle_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | biotmle_1.4.0.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 3.7 | Source Archive |