DOI: 10.18129/B9.bioc.apeglm    

Approximate posterior estimation for GLM coefficients

Bioconductor version: Release (3.14)

apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.

Author: Anqi Zhu [aut, cre], Joshua Zitovsky [ctb], Joseph Ibrahim [aut], Michael Love [aut]

Maintainer: Anqi Zhu <anqizhu at live.unc.edu>

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


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biocViews Bayesian, DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 1.16.0
In Bioconductor since BioC 3.6 (R-3.4) (4 years)
License GPL-2
Imports emdbook, SummarizedExperiment, GenomicRanges, methods, stats, utils, Rcpp
LinkingTo Rcpp, RcppEigen, RcppNumerical
Suggests DESeq2, airway, knitr, rmarkdown, testthat
Depends On Me rnaseqGene
Imports Me airpart, debrowser, DiffBind, exomePeak2
Suggests Me bambu, BRGenomics, DESeq2, fishpond, NanoporeRNASeq
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package apeglm_1.16.0.tar.gz
Windows Binary apeglm_1.16.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) apeglm_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/apeglm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/apeglm
Package Short Url https://bioconductor.org/packages/apeglm/
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