Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- 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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Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques ; volume:22 ; number:1 ; day:10 ; month:11 ; year:2021 ; pages:1-11 ; date:12.2021
BMC bioinformatics ; 22, Heft 1 (10.11.2021), 1-11, 12.2021
- Urheber
-
Khabbaz, Hossein
Karimi-Jafari, Mohammad Hossein
Saboury, Ali Akbar
BabaAli, Bagher
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-021-04468-y
- URN
-
urn:nbn:de:101:1-2022012220063702002472
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Khabbaz, Hossein
- Karimi-Jafari, Mohammad Hossein
- Saboury, Ali Akbar
- BabaAli, Bagher
- SpringerLink (Online service)
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