Neighbor-based normalization of CITE-seq data
Project description
KNN normalization
Background and motivation
KNN normalization is a normalization method for protein counts in CITE-seq data. KNN normalization learns from neighbor cells in a KNN graph in order to estimate the appropriate total protein counts in each cell. KNN normalization accurately estimates total protein counts while preserving biological information.
Getting started
Please refer to the documentation, in particular, the API documentation.
Installation
Install the latest development version:
pip install git+https://github.com/javier-marchena-hurtado/KNN_normalization.git@main
Release notes
See the changelog.
Contact
For questions and help requests, please open a discussion on GitHub. If you found a bug, please use the issue tracker.
Citation
t.b.a
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