Biological Data Mining

Biological Data Mining
Author: Jake Y. Chen
Publisher: CRC Press
Total Pages: 736
Release: 2009-09-01
Genre: Computers
ISBN: 1420086855

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Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin


Biological Data Mining
Language: en
Pages: 736
Authors: Jake Y. Chen
Categories: Computers
Type: BOOK - Published: 2009-09-01 - Publisher: CRC Press

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Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Dat
Biological Data Mining And Its Applications In Healthcare
Language: en
Pages: 437
Authors: Xiaoli Li
Categories: Science
Type: BOOK - Published: 2013-11-28 - Publisher: World Scientific

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Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in
Data Mining for Systems Biology
Language: en
Pages: 243
Authors: Hiroshi Mamitsuka
Categories: Science
Type: BOOK - Published: 2019-08-04 - Publisher: Humana

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This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the
Data Mining in Bioinformatics
Language: en
Pages: 356
Authors: Jason T. L. Wang
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: Springer Science & Business Media

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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease
Biological Knowledge Discovery Handbook
Language: en
Pages: 1126
Authors: Mourad Elloumi
Categories: Computers
Type: BOOK - Published: 2015-02-04 - Publisher: John Wiley & Sons

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The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the