recipe bioconductor-spicyr

Spatial analysis of in situ cytometry data

Homepage:

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

License:

GPL (>=2)

Recipe:

/bioconductor-spicyr/meta.yaml

spicyR provides a series of functions to aid in the analysis of both immunofluorescence and mass cytometry imaging data as well as other assays that can deeply phenotype individual cells and their spatial location.

package bioconductor-spicyr

Versions:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-spatialexperiment >=1.8.0,<1.9.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-concaveman

• r-data.table

• r-dplyr

• r-ggforce

• r-ggplot2

• r-lme4

• r-lmertest

• r-mgcv

• r-pheatmap

• r-rlang

• r-scam

• r-spatstat.core

• r-spatstat.geom

• r-tidyr

Required By:

• bioconductor-lisaclust

Installation

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

conda install bioconductor-spicyr

and update with:

conda update bioconductor-spicyr

or use the docker container:

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

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

Download stats

Link to this page

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