recipe bioconductor-cytoglmm

Conditional Differential Analysis for Flow and Mass Cytometry Experiments

Homepage:

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

License:

LGPL-3

Recipe:

/bioconductor-cytoglmm/meta.yaml

The CytoGLMM R package implements two multiple regression strategies: A bootstrapped generalized linear model (GLM) and a generalized linear mixed model (GLMM). Most current data analysis tools compare expressions across many computationally discovered cell types. CytoGLMM focuses on just one cell type. Our narrower field of application allows us to define a more specific statistical model with easier to control statistical guarantees. As a result, CytoGLMM finds differential proteins in flow and mass cytometry data while reducing biases arising from marker correlations and safeguarding against false discoveries induced by patient heterogeneity.

package bioconductor-cytoglmm

(downloads) docker_bioconductor-cytoglmm

Versions:

1.6.0-01.2.0-01.0.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-cytoglmm

and update with:

conda update bioconductor-cytoglmm

or use the docker container:

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

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

Download stats