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landmarkclassifier


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Author: Teresita M. Porter, Michael Wright, G. Brian Golding
License: MIT License Copyright (c) 2022 Josip Rudar, Teresita M. Porter, Michael Wright, G.Brian Golding, Mehrdad Hajibabaei Permission is hereby granted, free of charge, to a...
Summary: LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data
Latest version: 2.1.2
Required dependencies: joblib | numpy | pandas | scikit-learn | scipy | torch
Optional dependencies: black | mypy | pytest | pytest-cov | ruff | twine

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