Metadata-Version: 2.2
Name: sc_ssGSEA
Version: 1.2.7
Summary: A Python package for performing gene set enrichment analysis on single cell clusters.
Author: John Jun
Author-email: "Alexander T. Wenzel" <atwenzel@ucsd.edu>
Requires-Python: >=3.10.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.2.0
Requires-Dist: numpy>=1.26.0
Requires-Dist: scipy>=1.11.0
Requires-Dist: typing-extensions>=4.12.0
Requires-Dist: scanpy[leiden]>=1.11.0

# 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](https://groups.google.com/forum/?utm_medium=email&utm_source=footer#!forum/genepattern-help)

See [documentation](https://github.com/genepattern/scGSEA/documentation.md) for more details. 
