Metadata-Version: 2.1
Name: devCellPy
Version: 1.5.0
Summary: devCellPy -- hierarchical multilayered classification of cells based on scRNA-seq
Home-page: https://github.com/devCellPy-Team/devCellPy
Author: Sidra Xu
Author-email: sidraxu@stanford.edu
Maintainer: Sean Wu Lab
Maintainer-email: smwu@stanford.edu
License: MIT
Requires-Python: >=3.7
License-File: LICENSE.md
Requires-Dist: anndata >=0.9.1
Requires-Dist: matplotlib >=3.7.1
Requires-Dist: numpy ==1.23.5
Requires-Dist: pandas >=1.5.3
Requires-Dist: scanpy >=1.9.3
Requires-Dist: scikit-learn >=1.2.2
Requires-Dist: seaborn >=0.12.2
Requires-Dist: shap >=0.41.0
Requires-Dist: umap-learn >=0.5.3
Requires-Dist: xgboost

    devCellPy is a Python package designed for hierarchical
    multilayered classification of cells based on single-cell
    RNA-sequencing (scRNA-seq). It implements the machine
    learning algorithm Extreme Gradient Boost (XGBoost)
    (Chen and Guestrin, 2016) to automatically predict cell
    identities across complex permutations of layers and
    sublayers of annotation.
