milenapavlovic/immuneml repository overview

⁠immuneML

immuneML is a software platform for machine learning analysis of immune receptor sequences.

It supports the analyses of experimental B- and T-cell receptor data, as well as synthetic data for benchmarking purposes.

In immuneML, users can define flexible workflows supporting different machine learning libraries (such as scikit-learn or PyTorch), benchmarking of different approaches, numerous reports of data characteristics, ML algorithms, their predictions, and visualizations of results.

Additionally, users can extend the platform by defining their own data representations, ML models, reports, and visualizations.

To get started see the documentation at https://docs.immuneml.uio.no⁠.

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© Copyright 2021, Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Victor Greiff, Geir Kjetil Sandve