Single Cell ssGSEA
Description: Single Cell ssGSEA (sc_ssGSEA) is an extension of ssGSEA tailored for single-cell data analysis. It addresses the challenge of sparsity by employing a normalization method and scoring metric chosen to minimize any variability. By utilizing sc_ssGSEA, scientists can explore and interpret pathway activity and functional alterations within heterogeneous populations of cells.
Authors: John Jun, Alexander T. Wenzel; UCSD - Mesirov Lab, UCSD
Contact: Forum Link
See documentation for more details.
1 maintainer
Metadata
1 maintainer
Release files for sc-ssGSEA 1.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sc_ssgsea-1.2.7.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sc_ssgsea-1.2.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / sc_ssgsea-1.2.7.tar.gz
| Download URL | sc_ssgsea-1.2.7.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cdeb9b8abc34370f1fa583e1a7d7b3b1de24df66446e6fc47306cc00ac05b067
|
|
BLAKE2b-256 checksum How to use checksums |
a214ec0c03ec24259b69217b95de9dc87e4ee80d2972fab58737c249cb5bb789
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
|
Release files / sc_ssgsea-1.2.7-py3-none-any.whl
| Download URL | sc_ssgsea-1.2.7-py3-none-any.whl |
|---|---|
| Size | 12.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d1271db50dfd3b769d150ca88c72d3bf7fc90105e4d5868b19eee1a92f84dc4a
|
|
BLAKE2b-256 checksum How to use checksums |
65020434f7597376530e7b13088c5edfc12e646a68033bb9212b2abc2d3f695c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.1
|
