Metadata-Version: 2.4
Name: sc-adaptive-kernel
Version: 0.3.0
Summary: Single-cell-aware adaptive tools for scikit-learn: k-NN graph smoothing for dropout-robust classification, plus an adaptive-bandwidth SVM kernel
Project-URL: Homepage, https://github.com/Pritom300/sc-adaptive-kernel
License: MIT
License-File: LICENSE
Requires-Python: >=3.9
Requires-Dist: numpy>=1.21
Requires-Dist: scikit-learn>=1.0
Description-Content-Type: text/markdown



## Status

Validated on three independent public datasets across three tissue
types (blood, breast tumor, colorectal tumor). More Details will come soon.

## License

MIT
