Artificial intelligence and machine learning in bioinformatics

Kaitao Lai; Natalie Twine; Aidan O’Brien; Yi Guo; Denis Bauer

doi:10.1016/B978-0-12-809633-8.20325-7

Artificial intelligence and machine learning in bioinformatics

Kaitao Lai, Natalie Twine, Aidan O’Brien, Yi Guo, Denis Bauer

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

42 Citations (Scopus)

Abstract

This article provides an overview of Artificial Intelligence and Machine Learning methodologies and surveys representative applications in the bioinformatics field, such as for genomics, genetics, proteomics, systems biology and metagenomics. It provides examples of how to choose the appropriate Machine Learning algorithm and discusses Machine Learning in the era of “Big Data”.

Original language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	272-286
Number of pages	15
Volume	1-3
ISBN (Electronic)	9780128114322
ISBN (Print)	9780128114148
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20325-7
Publication status	Published - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc. All rights reserved.

Keywords

Artificial intelligence
Bioinformatics
Genomics
Machine learning

Access to Document

10.1016/B978-0-12-809633-8.20325-7

Cite this

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AU - O’Brien, Aidan

AU - Guo, Yi

AU - Bauer, Denis

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KW - Artificial intelligence

KW - Bioinformatics

KW - Genomics

KW - Machine learning

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M3 - Chapter

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VL - 1-3

SP - 272

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BT - Encyclopedia of Bioinformatics and Computational Biology

PB - Elsevier

ER -

Artificial intelligence and machine learning in bioinformatics

Abstract

Bibliographical note

Keywords

Access to Document

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