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https://github.com/RabadanLab/scTDA
An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
https://github.com/RabadanLab/scTDA
Last synced: 23 days ago
JSON representation
An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
- Host: GitHub
- URL: https://github.com/RabadanLab/scTDA
- Owner: RabadanLab
- License: gpl-3.0
- Fork: true (CamaraLab/scTDA)
- Created: 2016-12-22T05:50:17.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-08-10T15:15:38.000Z (almost 7 years ago)
- Last Synced: 2024-02-23T14:34:18.627Z (4 months ago)
- Language: Python
- Size: 3.38 MB
- Stars: 7
- Watchers: 6
- Forks: 8
- Open Issues: 0
Lists
- awesome_single_cell - scTDA - [Python] - scTDA is an object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data. It includes tools for the preprocessing, analysis, and exploration of single-cell RNA-seq data based on topological representations. (Software packages / RNA-seq)
- awesome-single-cell - scTDA - [Python] - scTDA is an object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data. It includes tools for the preprocessing, analysis, and exploration of single-cell RNA-seq data based on topological representations. (Software packages / RNA-seq)
- awesome-single-cell - scTDA - [Python] - scTDA is an object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data. It includes tools for the preprocessing, analysis, and exploration of single-cell RNA-seq data based on topological representations. (Software packages / RNA-seq)