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1 Ergebnisse
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Generative and interpretable machine learning for aptamer d..:
Di Gioacchino, Andrea
;
Procyk, Jonah
;
Molari, Marco
...
PLOS Computational Biology. 18 (2022) 9 - p. e1010561 , 2022
Link:
https://doi.org/10.1371/journal.pcbi.1010561
RT Journal T1
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pcbi.1010561&Exemplar=1&LAN=DE A1 Di Gioacchino, Andrea A1 Procyk, Jonah A1 Molari, Marco A1 Schreck, John S. A1 Zhou, Yu A1 Liu, Yan A1 Monasson, Rémi A1 Cocco, Simona A1 Šulc, Petr A1 Li, Jinyan PB Public Library of Science (PLoS) YR 2022 SN 1553-7358 JF PLOS Computational Biology VO 18 IS 9 SP e1010561 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1010561 DO https://doi.org/10.1371/journal.pcbi.1010561 SF ELIB - SuUB Bremen
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