M3Drop - Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
This package fits a model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells. Also includes an method for calculating exact Pearson residuals in UMI-tagged data using a library-size aware negative binomial model.
Last updated 27 days ago
rnaseqsequencingtranscriptomicsgeneexpressionsoftwaredifferentialexpressiondimensionreductionfeatureextractionhuman-cell-atlasrna-seqsingle-cellsingle-cell-rna-seq
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