This package fits a Michaelis-Menten 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.
|Author||Tallulah Andrews <firstname.lastname@example.org>|
|Bioconductor views||DifferentialExpression DimensionReduction FeatureExtraction GeneExpression RNASeq Sequencing Software Transcriptomics|
|Maintainer||Tallulah Andrews <email@example.com>|
|Package repository||View on GitHub|
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