A Novel approach based on generative deep learning for inverse QSAR modeling

dc.contributor.author	Boukelia, Abdelbasset
dc.contributor.author	Bouhedjar, Khalid
dc.date.accessioned	2023-01-09T09:42:06Z
dc.date.available	2023-01-09T09:42:06Z
dc.date.issued	2022-10-11
dc.identifier.uri	http://depot.umc.edu.dz/handle/123456789/13978
dc.language.iso	en	fr_FR
dc.publisher	Université Frères Mentouri - Constantine 1	fr_FR
dc.subject	Drug Design	fr_FR
dc.subject	Quantitative Structure-Activity	fr_FR
dc.subject	Relationship	fr_FR
dc.subject	Generative Models	fr_FR
dc.subject	Variational Autoencoder	fr_FR
dc.subject	Semi Supervised Machine Learning	fr_FR
dc.title	A Novel approach based on generative deep learning for inverse QSAR modeling	fr_FR
dc.type	Article	fr_FR