Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature ; volume:8 ; number:1 ; day:11 ; month:6 ; year:2018 ; pages:1-11 ; date:12.2018
Scientific reports ; 8, Heft 1 (11.6.2018), 1-11, 12.2018
- Klassifikation
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Naturwissenschaften
- Urheber
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Chang, Yoosup
- Beteiligte Personen und Organisationen
-
Park, Hyejin
Yang, Hyun-Jin
Lee, Seungju
Lee, Kwee-Yum
Kim, Tae Soon
Jung, Jongsun
Shin, Jae-Min
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-27214-6
- URN
-
urn:nbn:de:101:1-2018081120573895282548
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Chang, Yoosup
- Park, Hyejin
- Yang, Hyun-Jin
- Lee, Seungju
- Lee, Kwee-Yum
- Kim, Tae Soon
- Jung, Jongsun
- Shin, Jae-Min
- SpringerLink (Online service)
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