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                                       Details for article 157 of 307 found articles
 
 
  Genomic prediction of survival traits in the response of olive flounder (Paralichthys olivaceus) to viral hemorrhagic septicemia virus: Comparing machine learning models and traditional approaches
 
 
Title: Genomic prediction of survival traits in the response of olive flounder (Paralichthys olivaceus) to viral hemorrhagic septicemia virus: Comparing machine learning models and traditional approaches
Author: Liyanage, D.S.
Lee, Sukkyoung
Yang, Hyerim
Lim, Chaehyeon
Omeka, W.K.M.
Sandamalika, W.M. Gayashani
Udayantha, H.M.V.
Kim, Gaeun
Hanchapola, H.A.C.R.
Ganeshalingam, Subothini
Jeong, Taehyug
Oh, Seong-Rip
Won, Seung-Hwan
Koh, Hyoung-Bum
Kim, Mun-Kwan
Jones, David B.
Massault, Cecile
Jerry, Dean R.
Lee, Jehee
Appeared in: Aquaculture
Paging: Volume 595 () nr. P2 pages p.
Year: 2025
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 157 of 307 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands