Linnorm

DOI: 10.18129/B9.bioc.Linnorm  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Linnorm.

Linear model and normality based normalization and transformation method (Linnorm)

Bioconductor version: 3.16

Linnorm is an algorithm for normalizing and transforming RNA-seq, single cell RNA-seq, ChIP-seq count data or any large scale count data. It has been independently reviewed by Tian et al. on Nature Methods (https://doi.org/10.1038/s41592-019-0425-8). Linnorm can work with raw count, CPM, RPKM, FPKM and TPM.

Author: Shun Hang Yip <shunyip at bu.edu>, Panwen Wang <pwwang at pwwang.com>, Jean-Pierre Kocher <Kocher.JeanPierre at mayo.edu>, Pak Chung Sham <pcsham at hku.hk>, Junwen Wang <junwen at uw.edu>

Maintainer: Ken Shun Hang Yip <shunyip at bu.edu>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("Linnorm")

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("Linnorm")

 

PDF	R Script	Linnorm User Manual
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	BatchEffect, ChIPSeq, Clustering, DifferentialExpression, GeneExpression, Genetics, ImmunoOncology, Network, Normalization, PeakDetection, RNASeq, Sequencing, SingleCell, Software, Transcription
Version	2.22.2
In Bioconductor since	BioC 3.3 (R-3.3) (7 years)
License	MIT + file LICENSE
Depends	R (>= 4.1.0)
Imports	Rcpp (>= 0.12.2), RcppArmadillo (>= 0.8.100.1.0), fpc, vegan, mclust, apcluster, ggplot2, ellipse, limma, utils, statmod, MASS, igraph, grDevices, graphics, fastcluster, ggdendro, zoo, stats, amap, Rtsne, gmodels
LinkingTo	Rcpp, RcppArmadillo
Suggests	BiocStyle, knitr, rmarkdown, markdown, gplots, RColorBrewer, moments, testthat
SystemRequirements
Enhances
URL	https://doi.org/10.1093/nar/gkx828
Depends On Me
Imports Me	mnem
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	Linnorm_2.22.2.tar.gz
Windows Binary	Linnorm_2.22.2.zip
macOS Binary (x86_64)	Linnorm_2.22.2.tgz
macOS Binary (arm64)	Linnorm_2.22.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/Linnorm
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/Linnorm
Bioc Package Browser	https://code.bioconductor.org/browse/Linnorm/
Package Short Url	https://bioconductor.org/packages/Linnorm/
Package Downloads Report	Download Stats