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

Package details

AuthorShun Hang Yip <>, Panwen Wang <>, Jean-Pierre Kocher <>, Pak Chung Sham <>, Junwen Wang <>
Bioconductor views BatchEffect ChIPSeq Clustering DifferentialExpression GeneExpression Genetics ImmunoOncology Network Normalization PeakDetection RNASeq Sequencing SingleCell Software Transcription
MaintainerKen Shun Hang Yip <>
LicenseMIT + file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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Linnorm documentation built on Nov. 8, 2020, 6:48 p.m.