recipe bioconductor-sconify

This package does k-nearest neighbor based statistics and visualizations with flow and mass cytometery data. This gives tSNE maps”fold change” functionality and provides a data quality metric by assessing manifold overlap between fcs files expected to be the same. Other applications using this package include imputation, marker redundancy, and testing the relative information loss of lower dimension embeddings compared to the original manifold.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/Sconify.html

License

Artistic-2.0

Recipe

/bioconductor-sconify/meta.yaml

package bioconductor-sconify

(downloads) docker_bioconductor-sconify

Versions

1.2.0-0

Depends bioconductor-flowcore

>=1.48.0,<1.49.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-dplyr

Depends r-fnn

Depends r-ggplot2

Depends r-magrittr

Depends r-readr

Depends r-rtsne

Depends r-tibble

Requirements

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-sconify

and update with:

conda update bioconductor-sconify

or use the docker container:

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

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