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Article

Evaluation and optimization of sequence-based gene regulatory deep learning models

2023-04-28

Abstract excerpt

Neural networks have emerged as immensely powerful tools in predicting functional genomic regions, notably evidenced by recent successes in deciphering gene regulatory logic. However, a systematic evaluation of how model architectures and training strategies impact genomics model performance is lacking. To address this gap, we held a DREAM Challenge where competitors trained models on a dataset of millions of rand...

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Literature Corpus work
a6c3493d-4ee0-5e51-97d3-98def8dfebf1
DOI
10.1101/2023.04.26.538471
Open publication

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Evaluation and optimization of sequence-based gene regulatory deep learning modelsDOI 10.1101/2023.04.26.538471
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