A primer on machine learning techniques for genomic applications

High throughput sequencing technologies have enabled the study of complex biological aspects at single nucleotide resolution, opening the big data era. The analysis of large volumes of heterogeneous “omic” data, however, requires novel and efficient computational algorithms based on the paradigm of...

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Detalles Bibliográficos
Autores principales: Monaco, Alfonso, Pantaleo, Ester, Amoroso, Nicola, Lacalamita, Antonio, Lo Giudice, Claudio, Fonzino, Adriano, Fosso, Bruno, Picardi, Ernesto, Tangaro, Sabina, Pesole, Graziano, Bellotti, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365460/
https://www.ncbi.nlm.nih.gov/pubmed/34429852
http://dx.doi.org/10.1016/j.csbj.2021.07.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365460/
https://www.ncbi.nlm.nih.gov/pubmed/34429852
http://dx.doi.org/10.1016/j.csbj.2021.07.021

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