https://github.com/JEFworks-Lab/HoneyBADGER

HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
https://github.com/JEFworks-Lab/HoneyBADGER

bayesian bioinformatics cnv-detection heterogeneity hmm single-cell-analysis single-cell-rna-seq subpopulation transcriptomics

Last synced: 23 days ago
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HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data

• Host: GitHub
• URL: https://github.com/JEFworks-Lab/HoneyBADGER
• Owner: JEFworks-Lab
• License: gpl-3.0
• Created: 2017-02-24T15:52:55.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-07-19T17:08:44.000Z (almost 3 years ago)
• Last Synced: 2024-05-22T18:12:10.575Z (about 1 month ago)
• Topics: bayesian, bioinformatics, cnv-detection, heterogeneity, hmm, single-cell-analysis, single-cell-rna-seq, subpopulation, transcriptomics
• Language: R
• Homepage: http://jef.works/HoneyBADGER/
• Size: 52.8 MB
• Stars: 95
• Watchers: 8
• Forks: 31
• Open Issues: 15

Lists

• awesome_single_cell - HoneyBADGER - [R] - HoneyBADGER identifies and infers the presence of CNV and LOH events in single cells and reconstructs subclonal architecture using allele and expression information from single-cell RNA-sequencing data. (Software packages / Copy number analysis)