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ORCID"Generative and interpretable machine learning for aptamer design and ..."
Andrea Di Gioacchino et al. (2022)
- Andrea Di Gioacchino
, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, Petr Sulc:
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. PLoS Comput. Biol. 18(9): 1010561 (2022)
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