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: 24 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 (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-08-28T23:32:03.000Z (almost 5 years ago)
• Last Synced: 2023-10-20T20:20:38.551Z (9 months ago)
• Topics: r, rpackages, scrna-seq-analysis, scrnaseq, singlecell
• Language: R
• Homepage:
• Size: 256 MB
• Stars: 22
• Watchers: 6
• Forks: 7
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

Lists

• 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)
• 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)
• 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)!