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
Titel:
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
Auteur:
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