Open AccessGenerative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Author(s) -
Andrea Di Gioacchino,
Jonah Procyk,
Marco Molari,
John S. Schreck,
Yu Zhou,
Yan Liu,
Rémi Monasson,
Simona Cocco,
Petr Šulc
Publication year - 2022
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010561
Subject(s) - artificial intelligence , selection (genetic algorithm) , computer science , sequence (biology) , machine learning , aptamer , artificial neural network , generative model , pattern recognition (psychology) , computational biology , generative grammar , biology , genetics
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