bioconductor-m3drop
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
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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.
Summary
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Last Updated
Mar 3, 2026 at 00:24
License
GPL (>=2)
Total Downloads
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Version Downloads
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