_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-m3drop 1.32.0
Propagated dependencies: r-statmod@1.5.0 r-scater@1.34.0 r-reldist@1.7-2 r-rcolorbrewer@1.1-3 r-numderiv@2016.8-1.1 r-matrixstats@1.4.1 r-matrix@1.7-1 r-irlba@2.3.5.1 r-hmisc@5.2-0 r-gplots@3.2.0 r-bbmle@1.0.25.1
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://github.com/tallulandrews/M3Drop
Licenses: FSDG-compatible
Synopsis: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Description:

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.

Total results: 1