Linnorm (original) (raw)

This is the released version of Linnorm; for the devel version, seeLinnorm.

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

Bioconductor version: Release (3.20)

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

Maintainer: Shun Hang Yip

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

Installation

To install this package, start R (version "4.4") 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")

Details

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Package Archives

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