Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery ; volume:15 ; number:1 ; day:26 ; month:10 ; year:2024 ; pages:1-19 ; date:12.2024
Nature Communications ; 15, Heft 1 (26.10.2024), 1-19, 12.2024
- Urheber
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Qi, Xiaoning
Zhao, Lianhe
Tian, Chenyu
Li, Yueyue
Chen, Zhen-Lin
Huo, Peipei
Chen, Runsheng
Liu, Xiaodong
Wan, Baoping
Yang, Shengyong
Zhao, Yi
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-53457-1
- URN
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urn:nbn:de:101:1-2501162107236.239870326361
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Qi, Xiaoning
- Zhao, Lianhe
- Tian, Chenyu
- Li, Yueyue
- Chen, Zhen-Lin
- Huo, Peipei
- Chen, Runsheng
- Liu, Xiaodong
- Wan, Baoping
- Yang, Shengyong
- Zhao, Yi
- SpringerLink (Online service)
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