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Neighbor-based normalization of CITE-seq data

Project description

KNN normalization

Tests Documentation

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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