EvoAug-TF: Extending evolution-inspired data augmentations for genomic deep learning to TensorFlow.

Yiyang YuShivani MuthukumarPeter K Koo

Published in: bioRxiv : the preprint server for biology (2024)

EvoAug-TF is freely available for users and is distributed under an open-source MIT license. Researchers can access the open-source code on GitHub ( https://github.com/p-koo/evoaug-tf ). The pre-compiled package is provided via PyPI ( https://pypi.org/project/evoaug-tf ) with in-depth documentation on ReadTheDocs ( https://evoaug-tf.readthedocs.io ). The scripts for reproducing the results are available at ( https://github.com/p-koo/evoaug-tf_analysis ).

Keyphrases

deep learning
electronic health record
quality improvement
gene expression
dna methylation
big data
genome wide
convolutional neural network