Bicocca Open Archive

Logo unimib boa

Valsecchi, C., Grisoni, F., Consonni, V., Ballabio, D., Todeschini, R. (2021). Predicting molecular activity on nuclear receptors with deep and machine learning. Intervento presentato a: 19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences, Virtuale.

Predicting molecular activity on nuclear receptors with deep and machine learning

Valsecchi,C;Grisoni,F;Consonni, V;Ballabio, D;Todeschini, R
2021
poster
Nuclear receptors, machine learning, neural networks
English
19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences
2021
2021
none
Valsecchi, C., Grisoni, F., Consonni, V., Ballabio, D., Todeschini, R. (2021). Predicting molecular activity on nuclear receptors with deep and machine learning. Intervento presentato a: 19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences, Virtuale.
02 - Intervento a convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/330278
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact