MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling

dc.contributor.author	Kronenberger, Thales
dc.date.accessioned	2024-09-04T06:31:43Z
dc.date.available	2024-09-04T06:31:43Z
dc.date.issued	2023
dc.identifier.issn	0920-654X
dc.identifier.uri	http://hdl.handle.net/10900/157150
dc.language.iso	en	de_DE
dc.publisher	Dordrecht : Springer	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s10822-023-00536-y	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	530	de_DE
dc.subject.ddc	570	de_DE
dc.title	MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240730000000_01125
utue.publikation.seiten	735-754	de_DE
utue.personen.roh	Verissimo, Gabriel Correa
utue.personen.roh	Pantaleao, Simone Queiroz
utue.personen.roh	Fernandes, Philipe de Olveira
utue.personen.roh	Gertrudes, Jadson Castro
utue.personen.roh	Kronenberger, Thales
utue.personen.roh	Honorio, Kathia Maria
utue.personen.roh	Maltarollo, Vinicius Goncalves
dcterms.isPartOf.ZSTitelID	Journal of Computer - Aided Molecular Design	de_DE
dcterms.isPartOf.ZS-Issue	12	de_DE
dcterms.isPartOf.ZS-Volume	37	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE