epiACO - a method for identifying epistasis based on ant Colony optimization algorithm
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1756-0381
- 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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epiACO - a method for identifying epistasis based on ant Colony optimization algorithm ; volume:10 ; number:1 ; day:6 ; month:7 ; year:2017 ; pages:1-17 ; date:12.2017
BioData Mining ; 10, Heft 1 (6.7.2017), 1-17, 12.2017
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
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Sun, Yingxia
- Beteiligte Personen und Organisationen
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Shang, Junliang
Liu, Jin-Xing
Li, Shengjun
Zheng, Chun-Hou
SpringerLink (Online service)
- DOI
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10.1186/s13040-017-0143-7
- URN
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urn:nbn:de:101:1-2018080905124557615842
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Sun, Yingxia
- Shang, Junliang
- Liu, Jin-Xing
- Li, Shengjun
- Zheng, Chun-Hou
- SpringerLink (Online service)
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