DOI: 10.18129/B9.bioc.M3Drop    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see M3Drop.

Michaelis-Menten Modelling of Dropouts in single-cell RNASeq

Bioconductor version: 3.8

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 <tallulandrews at gmail.com>

Maintainer: Tallulah Andrews <tallulandrews at gmail.com>

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PDF R Script Introduction to M3Drop
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, DimensionReduction, FeatureExtraction, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcriptomics
Version 1.8.1
In Bioconductor since BioC 3.4 (R-3.3) (2.5 years)
License GPL (>=2)
Depends R (>= 3.3), numDeriv
Imports RColorBrewer, gplots, bbmle, statmod, grDevices, graphics, stats
Suggests ROCR, knitr, M3DExampleData
URL https://github.com/tallulandrews/M3Drop
BugReports https://github.com/tallulandrews/M3Drop/issues
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Source Package M3Drop_1.8.1.tar.gz
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