Dealing with dimensionality: the application of machine learning to multi-omics data

MOTIVATION: Machine learning (ML) methods are motivated by the need to automate information extraction from large datasets in order to support human users in data-driven tasks. This is an attractive approach for integrative joint analysis of vast amounts of omics data produced in next generation seq...

Descripción completa

Detalles Bibliográficos
Autores principales: Feldner-Busztin, Dylan, Firbas Nisantzis, Panos, Edmunds, Shelley Jane, Boza, Gergely, Racimo, Fernando, Gopalakrishnan, Shyam, Limborg, Morten Tønsberg, Lahti, Leo, de Polavieja, Gonzalo G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907220/
https://www.ncbi.nlm.nih.gov/pubmed/36637211
http://dx.doi.org/10.1093/bioinformatics/btad021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907220/
https://www.ncbi.nlm.nih.gov/pubmed/36637211
http://dx.doi.org/10.1093/bioinformatics/btad021

Ejemplares similares