Package: SEPA
Type: Package
Title: SEPA
Version: 1.6.0
Date: 2015-04-17
Author: Zhicheng Ji, Hongkai Ji
Maintainer: Zhicheng Ji <zji4@jhu.edu>
Description: Given single-cell RNA-seq data and true experiment time of cells or pseudo-time cell ordering, SEPA provides convenient functions for users to assign genes into different gene expression patterns such as constant, monotone increasing and increasing then decreasing. SEPA then performs GO enrichment analysis to analysis the functional roles of genes with same or similar patterns.
License: GPL(>=2)
Imports: ggplot2, shiny, topGO, segmented, reshape2, org.Hs.eg.db,
        org.Mm.eg.db
VignetteBuilder: knitr
Suggests: knitr
Depends: R(>= 2.10.0)
biocViews: GeneExpression, Visualization, GUI, GO
NeedsCompilation: no
Packaged: 2017-04-25 01:07:05 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 07:06:33 UTC; windows
