DOI: 10.18129/B9.bioc.Linnorm  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see Linnorm.

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

Bioconductor version: 3.17

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 ( Linnorm can work with raw count, CPM, RPKM, FPKM and TPM.

Author: Shun Hang Yip <shunyip at>, Panwen Wang <pwwang at>, Jean-Pierre Kocher <Kocher.JeanPierre at>, Pak Chung Sham <pcsham at>, Junwen Wang <junwen at>

Maintainer: Ken Shun Hang Yip <shunyip at>

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


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PDF R Script Linnorm User Manual
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biocViews BatchEffect, ChIPSeq, Clustering, DifferentialExpression, GeneExpression, Genetics, ImmunoOncology, Network, Normalization, PeakDetection, RNASeq, Sequencing, SingleCell, Software, Transcription
Version 2.24.1
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends R (>= 4.1.0)
Imports Rcpp (>= 0.12.2), RcppArmadillo (>=, 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
Depends On Me
Imports Me mnem
Suggests Me
Links To Me
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