jenniferfranks/FSQN: Feature Specific Quantile Normalization

Currently, there is a lack of effective methods designed to eliminate platform-based bias. Our package is designed to quantile normalize each feature in a data set according to its corresponding feature in a target distribution. This eliminates distribution based differences resulting from the use of different gene expression profiling platforms.

Getting started

Package details

AuthorJennifer M. Franks
Bioconductor views Normalization Software WorkflowStep
MaintainerJennifer M. Franks <[email protected]>
LicenseGPL-2
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jenniferfranks/FSQN")
jenniferfranks/FSQN documentation built on July 18, 2017, 11:57 p.m.