BMILAB/PASCCA: Cluster analysis of replicated alternative polyadenylation data using shrinkage canonical correlation analysis

PASCCA is an easy-to-use R package for analyses of APA related gene expression, including the characterization of poly(A) sites, quantification of association between genes with/without repeated measurements, clustering of APA-related genes to infer significant APA specific gene modules, and the evaluation of clustering performance with a variety of indexes.

Getting started

Package details

MaintainerWenbin Ye <nikou123456@163.com>
LicenseGPL (>= 2)
Version0.1.0
URL https://github.com/BMILAB/PASCCA
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("BMILAB/PASCCA")
BMILAB/PASCCA documentation built on Nov. 20, 2020, 11:32 p.m.