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
gene expression
dna methylation
genome wide
neural network
data analysis