recipe bioconductor-sconify

A toolkit for performing KNN-based statistics for flow and mass cytometry data

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-sconify/meta.yaml

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.

package bioconductor-sconify

Versions:

1.18.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.0-0

Depends:

• bioconductor-flowcore >=2.10.0,<2.11.0

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-fnn

• r-ggplot2

• r-magrittr

• r-readr

• r-rtsne

• r-tibble

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

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