_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-diffcyt 1.30.0
Propagated dependencies: r-circlize@0.4.16 r-complexheatmap@2.26.0 r-dplyr@1.1.4 r-edger@4.8.0 r-flowcore@2.22.0 r-flowsom@2.18.0 r-limma@3.66.0 r-lme4@1.1-37 r-magrittr@2.0.4 r-multcomp@1.4-29 r-reshape2@1.4.5 r-s4vectors@0.48.0 r-summarizedexperiment@1.40.0 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/lmweber/diffcyt
Licenses: Expat
Build system: r
Synopsis: Differential discovery in high-dimensional cytometry
Description:

This package provides statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.

Total results: 1