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https://github.com/lanagarmire/SSrGE
https://github.com/lanagarmire/SSrGE
Last synced: 23 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/lanagarmire/SSrGE
- Owner: lanagarmire
- Created: 2016-10-24T20:06:46.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-06-12T22:41:57.000Z (about 5 years ago)
- Last Synced: 2024-02-24T16:36:52.201Z (4 months ago)
- Language: Python
- Size: 254 KB
- Stars: 32
- Watchers: 4
- Forks: 9
- Open Issues: 9
Lists
- awesome_single_cell - SSrGE - [python] - SSrGE is an approach to identify SNVs correlated with Gene Expression using multiple regularized linear regressions. It contains its own pipeline to infer SNVs from scRNA-seq reads and is able to identify and sort genes and SNVs for a given cell subgroup. Deposited in [BioRxiv in December 2016](http://biorxiv.org/content/early/2017/03/01/095810). (Software packages / Variant calling)
- awesome-single-cell - SSrGE - [python] - SSrGE is an approach to identify SNVs correlated with Gene Expression using multiple regularized linear regressions. It contains its own pipeline to infer SNVs from scRNA-seq reads and is able to identify and sort genes and SNVs for a given cell subgroup. Deposited in [BioRxiv in December 2016](http://biorxiv.org/content/early/2017/03/01/095810). (Software packages / Variant calling)
- awesome-single-cell - SSrGE - [python] - SSrGE is an approach to identify SNVs correlated with Gene Expression using multiple regularized linear regressions. It contains its own pipeline to infer SNVs from scRNA-seq reads and is able to identify and sort genes and SNVs for a given cell subgroup. Deposited in [BioRxiv in December 2016](http://biorxiv.org/content/early/2017/03/01/095810). (Software packages / Variant calling)