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 <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
BMILAB/PASCCA documentation built on Sept. 11, 2018, 2:19 p.m.