Artificial neural networks

by Cartwright, Hugh M.

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Title Statements

Full title :Artificial neural networks / edited by Hugh Cartwright.

Summary

This book showcases some of the studies now being pursued in the life sciences: topics range from the identification of genotype-phenotype correlations to the use of machine learning to evaluate biomedical time series; from de novo drug design to using recursive neural networks in the scoring of protein models; from studies of gene regulation in bacteria to the application of machine learning to the assessment of tumor tissue, and many more. "Traditional" methods of analysis are in no imminent danger of being pushed out of the door by AI. On the contrary, these well-tested methods are increasingly being combined with the newer computational tools to enhance understanding of the large and complex datasets that the life sciences can generate.

Edition Statements

Publication Date:2021
Edition:Third edition

Publication Statements

Publisher(s):Humana Press
Place of Publication:New York, NY
Language:eng
Publication Date:2021

The Physical Object

Description:1 online resource (PDF files (xii, 359 pages)) : : illustrations.

Edition Identifiers

ISBN:9781071608265, 1071608266
oclc:on1236453492
LC Classification:QA76.87
Dewey Decimal:006.3/2

Subjects

artificial intelligence Artificial intelligence -- Laboratory m… Intelligence artificielle Laboratory manuals Neural networks (Computer science) Neural networks (Computer science) -- L… Neural Networks, Computer Réseaux neuronaux (Informatique) Réseaux neuronaux (Informatique) -- Man…