README.MD
In GIS-SP-Group/RCA: RCA: Clustering Single Cell RNAseq Data using Reference Component Analysis
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)
GIS-SP-Group/RCA documentation built on May 6, 2019, 5:30 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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