DESCRIPTION

Package: pcaReduce
Type: Package
Title: Hierarchical Clustering of Single Cell Transcriptional Profiles
Version: 1.0
Date: 2015-04-28
Author: Justina Zurauskiene and Christopher Yau
Maintainer:Justina Zurauskiene <justina_zurauskiene@gmail.com>
Depends: R (>= 3.0.1), pcaMethods (>= 1.50.0), mnormt (>= 1.5-1), mclust (>= 4.3)
Description: pcaReduce delivers hierarchical representation of single cell RNA-seq data via dimensionality reduction and clustering. It is based on integration of two tools: K-means clustering algorithm and principal components analysis. pcaReduce uses agglomerative clustering to generate a cell state hierarchy, where each cluster branch is associated with a principal component of variation that can assist in differentiating two cellular states. Therefore, it can be applied for characterising cell state identity.
License: GPL (>= 2)