Python package for cell identity recognition at individual cell level from single-cell RNA-seq data. Cell types for unknown cells are predicted, through a statistical approach, using raw gene expresssion data among a list of cells, and a gene marker dataset consisting of a list of genes found in known cell types/gene sets.
Project description
sc-pred
Description
Python package for cell identity recognition at individual cell level from single-cell RNA-seq data.
Cell types for unknown cells are predicted, through a statistical approach, using raw gene expresssion
data among a list of cells, and a gene marker dataset consisting of a list of genes found in known cell types/gene sets.
sc-pred is based off of the
- R software: https://github.com/RausellLab/CelliD
- CelliD statistical method presented in the article: Gene signature extraction and cell identity recognition at the single-cell level with Cell-ID, Nature Biotechnology 2021
Please take a look at the README.md in the repository for further understanding of the implementation.
Author
- Ramin Mohammadi, rammoh5346@gmail.com
License
This package is under the GNU General Public License v3.0
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ramin123455-1.0.0.tar.gz.
File metadata
- Download URL: ramin123455-1.0.0.tar.gz
- Upload date:
- Size: 26.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a2e8a89f3932406cbdd27c3ec250f5835ef557312b1100bc84cac786044fded
|
|
| MD5 |
5fd324ee211b405e10a93ea1c68dacaf
|
|
| BLAKE2b-256 |
26e0ed3dc4e1a9bef080e0c4c864c818c102b18fecd6bc400bbf3fa9a7966f82
|
File details
Details for the file ramin123455-1.0.0-py3-none-any.whl.
File metadata
- Download URL: ramin123455-1.0.0-py3-none-any.whl
- Upload date:
- Size: 33.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b097915f66b003f0d42a86731c8791c1cf6aafc4ba8d564bdc3f505d8d3db575
|
|
| MD5 |
7d1b3022064673ab37b9251017f16549
|
|
| BLAKE2b-256 |
131921f1afa6cdea30e0888d4018f4f00cdb88cf4a761cb5a8f85e397ec33485
|
