Skip to main content

devCellPy -- hierarchical multilayered classification of cells based on scRNA-seq

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

devCellPy-1.5.0.tar.gz (17.5 kB view hashes)

Uploaded Source

Built Distribution

devCellPy-1.5.0-py3-none-any.whl (18.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page