recipe bioconductor-milor

Differential neighbourhood abundance testing on a graph

Homepage:

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

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-milor/meta.yaml

Milo performs single-cell differential abundance testing. Cell states are modelled as representative neighbourhoods on a nearest neighbour graph. Hypothesis testing is performed using a negative bionomial generalized linear model.

package bioconductor-milor

Versions:

1.6.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocneighbors >=1.16.0,<1.17.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biocsingular >=1.14.0,<1.15.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-cowplot

• r-dplyr

• r-ggbeeswarm

• r-ggplot2

• r-ggraph

• r-ggrepel

• r-gtools

• r-igraph

• r-irlba

• r-matrix >=1.3-0

• r-matrixstats

• r-patchwork

• r-rcolorbrewer

• r-stringr

• r-tibble

• r-tidyr

Required By:

Installation

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

conda install bioconductor-milor

and update with:

conda update bioconductor-milor

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

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