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Author:
None
License:
MIT License
Copyright (c) 2025 Joseph Hart
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated docume...
Summary:
NanoBoost: a wavelet transform-enhanced machine learning algorithm for nanopore sensing
Latest version:
0.1.0
Required dependencies:
imbalanced-learn
|
numpy
|
pandas
|
pyabf
|
pywavelets
|
pyyaml
|
scikit-learn
|
scikit-optimize
|
scipy
|
tqdm
|
typer
|
xgboost
Optional dependencies:
matplotlib
|
pytest
|
seaborn
|
torch
|
tslearn
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