"Flow cytometry for sk-learn
Project description
sk-cyto - Flow cytometry algorithms for scikit-learn
sk-cyto brings flow cytometry to scikit-learn.
Flow cytometry is extremely amenable to regular machine learning algorithms. At the same time, it requires specific data transformations, and various dedicated analysis methods have been developed. sk-cyto allows you to combine the best of sk-learn infrastructure with dedicated cytometry analysis methods. Use established patterns, such as Pipeline and existing Transformers together with state-of-the-art algorithms like FlowSOM.
Refer to the documentation for a full list of available Transformers and Estimators
This package is work in progress. New features and algorithms will be implemented frequently.
Installation
From PyPI .. code-block:
pip install sk-cyto
Install from Github source code with .. code-block:
git clone git@github.com:MSHelm/sk-cyto.git cd sk-cyto pip install .
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