This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see apeglm.
Bioconductor version: 3.13
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")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("apeglm")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("apeglm")
HTML | R Script | Effect size estimation with apeglm |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (4 years) |
License | GPL-2 |
Depends | |
Imports | emdbook, SummarizedExperiment, GenomicRanges, methods, stats, utils, Rcpp |
LinkingTo | Rcpp, RcppEigen, RcppNumerical |
Suggests | DESeq2, airway, knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | rnaseqGene |
Imports Me | airpart, debrowser, DiffBind, exomePeak2 |
Suggests Me | bambu, BRGenomics, DESeq2, fishpond, NanoporeRNASeq |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | apeglm_1.14.0.tar.gz |
Windows Binary | apeglm_1.14.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | apeglm_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/apeglm |
Source Repository (Developer Access) | git clone [email protected]:packages/apeglm |
Package Short Url | https://bioconductor.org/packages/apeglm/ |
Package Downloads Report | Download Stats |
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