epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1756-0381

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Classification: Biowissenschaften, Biologie

Creator: Sun, Yingxia

Contributor: Shang, Junliang
Liu, Jin-Xing
Li, Shengjun
Zheng, Chun-Hou
SpringerLink (Online service)

DOI: 10.1186/s13040-017-0143-7

URN: urn:nbn:de:101:1-2018080905124557615842

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Associated

Sun, Yingxia
Shang, Junliang
Liu, Jin-Xing
Li, Shengjun
Zheng, Chun-Hou
SpringerLink (Online service)

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Parallel EigenAnt algorithm based on MPI by ACO approach

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