Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study
dc.contributor.author
Valsecchi, Cecile
dc.contributor.author
Grisoni, Francesca
dc.contributor.author
Consonni, Viviana
dc.contributor.author
Ballabio, Davide
dc.date.accessioned
2020-03-31T08:51:27Z
dc.date.available
2020-03-30T04:02:49Z
dc.date.available
2020-03-31T08:51:27Z
dc.date.issued
2020-03-23
dc.identifier.issn
1549-9596
dc.identifier.issn
0095-2338
dc.identifier.issn
1520-5142
dc.identifier.other
10.1021/acs.jcim.9b01057
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/407114
dc.language.iso
en
en_US
dc.publisher
American Chemical Society
en_US
dc.title
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study
en_US
dc.type
Journal Article
dc.date.published
2020-02-19
ethz.journal.title
Journal of Chemical Information and Modeling
ethz.journal.volume
60
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
J. Chem. Inf. Model.
ethz.pages.start
1215
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ethz.pages.end
1223
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ethz.grant
De novo molecular design by deep learning
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ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03852 - Schneider, Gisbert / Schneider, Gisbert
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03852 - Schneider, Gisbert / Schneider, Gisbert
ethz.grant.agreementno
182176
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2020-03-30T04:03:04Z
ethz.source
SCOPUS
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yes
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ethz.availability
Metadata only
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ethz.rosetta.installDate
2020-03-31T08:51:38Z
ethz.rosetta.lastUpdated
2025-02-13T20:29:13Z
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Journal Article [133638]