MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites ; volume:24 ; number:1 ; day:16 ; month:10 ; year:2023 ; pages:1-20 ; date:12.2023
Genome biology ; 24, Heft 1 (16.10.2023), 1-20, 12.2023
- Creator
-
Wang, Chengqi
Dong, Yibo
Li, Chang
Oberstaller, Jenna
Zhang, Min
Gibbons, Justin
Pires, Camilla Valente
Xiao, Mianli
Zhu, Lei
Jiang, Rays H. Y.
Kim, Kami
Miao, Jun
Otto, Thomas D.
Cui, Liwang
Adams, John H.
Liu, Xiaoming
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13059-023-03063-z
- URN
-
urn:nbn:de:101:1-2024020809071687066884
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wang, Chengqi
- Dong, Yibo
- Li, Chang
- Oberstaller, Jenna
- Zhang, Min
- Gibbons, Justin
- Pires, Camilla Valente
- Xiao, Mianli
- Zhu, Lei
- Jiang, Rays H. Y.
- Kim, Kami
- Miao, Jun
- Otto, Thomas D.
- Cui, Liwang
- Adams, John H.
- Liu, Xiaoming
- SpringerLink (Online service)
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