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https://github.com/IMB-Computational-Genomics-Lab/ascend
R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
https://github.com/IMB-Computational-Genomics-Lab/ascend
r rpackages scrna-seq-analysis scrnaseq singlecell
Last synced: 6 days ago
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R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
- Host: GitHub
- URL: https://github.com/IMB-Computational-Genomics-Lab/ascend
- Owner: IMB-Computational-Genomics-Lab
- Created: 2017-10-16T06:04:05.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-28T23:32:03.000Z (about 5 years ago)
- Last Synced: 2024-08-02T16:43:40.801Z (3 months ago)
- Topics: r, rpackages, scrna-seq-analysis, scrnaseq, singlecell
- Language: R
- Homepage:
- Size: 256 MB
- Stars: 21
- Watchers: 6
- Forks: 7
- Open Issues: 7
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-single-cell - ascend - [R] - ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. (Software packages / RNA-seq)
README
THIS REPOSITORY HAS NOW MOVED TO [powellgenomicslab/ascend](https://github.com/powellgenomicslab/ascend)!