/RCA

R package for robust clustering of single cell RNA sequencing data

Primary LanguageRMIT LicenseMIT

RCA version1.0

RCA, short for Reference Component Analysis, is an R package for robust clustering analysis of single cell RNA sequencing data (scRNAseq). It is developed by Prabhakar Group at Genome Institute of Singapore (GIS).

Versions and Features

Version 1.0

Release date: March 20, 2017

Features:

  • clustering analysis of scRNAseq data from Human samples
  • three modes :
    • "GlobalPanel": default option for clusterig general single cell data sets that include a wide spectrum of cell types.
    • "ColonEpitheliumPanel": suitable for analyzing human colon/intestine derived samples.
    • "SelfProjection": suitable for analyzing data sets from not-well-studied tissue types (still under optimization)