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Linnorm
This is the development version of Linnorm; for the stable release version, see Linnorm.
Linear model and normality based normalization and transformation method (Linnorm)
Bioconductor version: Development (3.23)
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>
Maintainer: Shun Hang Yip <shunyip at bu.edu>
citation("Linnorm")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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.