A primer on machine learning techniques for genomic applications

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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Bibliographic Details
Main Authors: Alfonso Monaco, Ester Pantaleo, Nicola Amoroso, Antonio Lacalamita, Claudio Lo Giudice, Adriano Fonzino, Bruno Fosso, Ernesto Picardi, Sabina Tangaro, Graziano Pesole, Roberto Bellotti
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Machine learning
Deep learning
Genomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037021003111

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http://www.sciencedirect.com/science/article/pii/S2001037021003111

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