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Author:
None
License:
MIT License
Copyright (c) 2026 KaikunXu
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documenta...
Summary:
A high-performance and user-friendly Python package for OPLS-DA, aligned with 'ropls'. Features parallel permutation tests with dynamic progress tracking, and publication-ready visualizations.
Latest version:
1.0.3
Required dependencies:
joblib
|
matplotlib
|
numpy
|
pandas
|
patchworklib
|
plotnine
|
rich
|
scikit-learn
|
scipy
|
seaborn
|
tqdm
Optional dependencies:
pytest
|
tabulate
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