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seqgra: principled selection of neural network architectures for genomics prediction tasks
Author(s) -
Konstantin Krismer,
Jennifer Hammelman,
David K. Gifford
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac101
Subject(s) - computer science , interpretability , python (programming language) , artificial neural network , documentation , machine learning , artificial intelligence , deep learning , source code , genomics , computational genomics , pipeline (software) , data mining , genome , programming language , biology , biochemistry , gene

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