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

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.

Package details

AuthorShun Hang Yip <shunyip@bu.edu>, Panwen Wang <pwwang@pwwang.com>, Jean-Pierre Kocher <Kocher.JeanPierre@mayo.edu>, Pak Chung Sham <pcsham@hku.hk>, Junwen Wang <junwen@uw.edu>
Bioconductor views BatchEffect ChIPSeq Clustering DifferentialExpression GeneExpression Genetics ImmunoOncology Network Normalization PeakDetection RNASeq Sequencing SingleCell Software Transcription
MaintainerKen Shun Hang Yip <shunyip@bu.edu>
LicenseMIT + file LICENSE
Version2.12.0
URL https://doi.org/10.1093/nar/gkx828
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("Linnorm")

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Linnorm documentation built on April 29, 2020, 6:36 a.m.