Implements functions for low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, detection of highly variable and significantly correlated genes, correction of batch effects, identification of marker genes, and other common tasks in single-cell analysis workflows.
|Author||Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb], Laleh Haghverdi [ctb]|
|Bioconductor views||BatchEffect Clustering GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization|
|Date of publication||2018-08-07|
|Maintainer||Aaron Lun <[email protected]>|
|Package repository||View on Bioconductor|
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