Recent Advances of Deep Learning in Bioinformatics and Computational Biology.

Abstract:

:Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few applications from academia and industry. We highlight the difference and similarity in widely utilized models in deep learning studies, through discussing their basic structures, and reviewing diverse applications and disadvantages. We anticipate the work can serve as a meaningful perspective for further development of its theory, algorithm and application in bioinformatic and computational biology.

journal_name

Front Genet

journal_title

Frontiers in genetics

authors

Tang B,Pan Z,Yin K,Khateeb A

doi

10.3389/fgene.2019.00214

subject

Has Abstract

pub_date

2019-03-26 00:00:00

pages

214

issn

1664-8021

journal_volume

10

pub_type

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