Artificial neural networks for reducing the dimensionality of gene expression data

Narayanan, A. and Cheung, Alan and Gamalielsson, J. and Keedwell, E. and Vercellone, C. (2005) Artificial neural networks for reducing the dimensionality of gene expression data. In: Seiffert, U. and Schweizer, P. (eds.) Bioinformatics Using Computational Intelligence Paradigms. Studies in Fuzziness and Soft Computing 176. Springer, pp. 191-211. ISBN 9783540229018.

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Official URL: https://www.springer.com/gb/book/9783540229018

Abstract

Book synopsis: Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems(Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences
Depositing User:	Sarah Hall
Date Deposited:	07 May 2019 13:19
Last Modified:	02 Aug 2023 17:51
URI:	https://eprints.bbk.ac.uk/id/eprint/27426

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