_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-maaslin2 1.18.0
Propagated dependencies: r-biglm@0.9-3 r-car@3.1-3 r-chemometrics@1.4.4 r-cplm@0.7-12.1 r-data-table@1.16.2 r-dplyr@1.1.4 r-edger@4.4.0 r-ggplot2@3.5.1 r-glmmtmb@1.1.10 r-hash@2.2.6.3 r-lme4@1.1-35.5 r-lmertest@3.1-3 r-logging@0.10-108 r-mass@7.3-61 r-metagenomeseq@1.46.0 r-optparse@1.7.5 r-pbapply@1.7-2 r-pcapp@2.0-5 r-pheatmap@1.0.12 r-pscl@1.5.9 r-robustbase@0.99-4-1 r-tibble@3.2.1 r-vegan@2.6-8
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: http://huttenhower.sph.harvard.edu/maaslin2
Licenses: Expat
Synopsis: Multivariable association discovery in population-scale meta-omics studies
Description:

MaAsLin2 is comprehensive R package for efficiently determining multivariable association between clinical metadata and microbial meta'omic features. This package relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods.

Total results: 1