recipe bioconductor-censcyt

Differential abundance analysis with a right censored covariate in high-dimensional cytometry

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/censcyt.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-censcyt/meta.yaml

Methods for differential abundance analysis in high-dimensional cytometry data when a covariate is subject to right censoring (e.g. survival time) based on multiple imputation and generalized linear mixed models.

package bioconductor-censcyt

Versions:

1.6.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-diffcyt >=1.18.0,<1.19.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-broom.mixed

• r-dirmult

• r-dplyr

• r-fitdistrplus

• r-lme4

• r-magrittr

• r-mass

• r-mice

• r-multcomp

• r-purrr

• r-rlang

• r-stringr

• r-survival

• r-tibble

• r-tidyr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-censcyt

and update with:

conda update bioconductor-censcyt

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-censcyt:<tag>

(see bioconductor-censcyt/tags for valid values for <tag>)

Download stats

Link to this page

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