A package implement mutilple functionalities which are commonly used in single cell RNAseq data analysis, including variable genes identification, dimension reduction, clustering on reduced data. Currently, this package also wrap other clustering method designed specifically for single cell RNAseq data, including SC3 etc. In addition, some new ideas were proposed, such as projecting data to a feature space using spearman correlation which make visualiaztion and clustering more efficient, clustering with subsampling and classfification which make it feasible to process thousands cells' data.
|Author||Xianwen Ren, Liangtao Zheng|
|Maintainer||Liangtao Zheng <[email protected]>|
|Package repository||View on GitHub|
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