Predicting VNN resistance in European sea bass using machine learning on high dimensional low sample size data

Aquaculture is a rapidly growing sector in the global food production chain as a recognized fundamental source of high-quality proteins. One of the crucial tasks in aquaculture is phenotype prediction. While machine learning research has mainly focused on classification tasks on Big Data, in many bi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Giovanni Faldani, Enrico Rossignolo, Eleonora Signor, Alessio Longo, Sara Faggion, Luca Bargelloni, Matteo Comin, Cinzia Pizzi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-05-01
Colecção:	Frontiers in Bioinformatics
Assuntos:	high-dimensional low sample size machine learning classification phenotype prediction seabass SNP data
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fbinf.2026.1718386/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!