ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.
|Author||Krishan Gupta [aut, cre], Manan Lalit [aut], Aditya Biswas [aut], Abhik Ghosh [aut], Debarka Sengupta [aut]|
|Bioconductor views||DifferentialExpression GeneExpression SingleCell|
|Maintainer||Krishan Gupta <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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