https://github.com/pmb59/fCCAC

Bioconductor package - functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
https://github.com/pmb59/fCCAC

bioc-devel

Last synced: 28 days ago
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Bioconductor package - functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets

• Host: GitHub
• URL: https://github.com/pmb59/fCCAC
• Owner: pmb59
• Created: 2021-08-22T23:09:29.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-05-28T15:00:28.000Z (about 2 years ago)
• Last Synced: 2024-05-22T02:13:57.805Z (about 2 months ago)
• Topics: bioc-devel
• Language: R
• Homepage: https://bioconductor.org/packages/fCCAC/
• Size: 3.34 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-multi-omics - fCCAC - Madrigal - functional canonical correlation analysis to evaluate covariance - [paper](https://doi.org/10.1093/bioinformatics/btw724) (Software packages and methods / Multi-omics correlation or factor analysis)

README

        
# fCCAC

[![](https://img.shields.io/badge/devel%20version-1.23.1-green.svg)](http://bioconductor.org/packages/devel/bioc/html/fCCAC.html)

[![DOI:10.1093/bioinformatics/btw724](https://zenodo.org/badge/DOI/10.1093/bioinformatics/btw724.svg)](https://doi.org/10.1093/bioinformatics/btw724)

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-fccac/README.html)