Neural Networks and Genome Informatics

Neural Networks and Genome Informatics
Author: C.H. Wu
Publisher: Elsevier
Total Pages: 218
Release: 2012-12-02
Genre: Computers
ISBN: 0080537375

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This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.


Neural Networks and Genome Informatics
Language: en
Pages: 218
Authors: C.H. Wu
Categories: Computers
Type: BOOK - Published: 2012-12-02 - Publisher: Elsevier

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This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neura
Post-genome Informatics
Language: en
Pages: 159
Authors: Minoru Kanehisa
Categories: Science
Type: BOOK - Published: 2000-01-20 - Publisher: OUP Oxford

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The genome projects have now entered a rapid production phase with complete genome sequences and complete gene catalogues already available for a number of orga
Deep Learning in Biomedical and Health Informatics
Language: en
Pages: 251
Authors: M. A. Jabbar
Categories: Computers
Type: BOOK - Published: 2021-09-27 - Publisher: CRC Press

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This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthca
Springer Handbook of Bio-/Neuro-Informatics
Language: en
Pages: 1239
Authors: Nikola Kasabov
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-30 - Publisher: Springer Science & Business Media

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The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two majo
Handbook of Machine Learning Applications for Genomics
Language: en
Pages: 222
Authors: Sanjiban Sekhar Roy
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-23 - Publisher: Springer Nature

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Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emergi