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Life Sciences - Systems Biology and Bioinformatics | Data Mining Techniques for the Life Sciences (Reviews)

Data Mining Techniques for the Life Sciences

Series: Methods in Molecular Biology, Vol. 609

Carugo, Oliviero, Eisenhaber, Frank (Eds.)

2010, XII, 408p. 89 illus..

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From the reviews:

“The book consists of three parts with 22 chapters prepared by well-known experts from many countries. … book will be useful for students and researchers, such as biochemists, molecular biologists, and biotechnologists, who wish to get a condensed introduction to the world of biological databases and their applications related to various aspects of life science.” (G. Ya. Wiederschain, Biochemistry, Vol. 76 (4), 2011)

“Provides a comprehensive overview and reference for molecular biologists and bioinformaticians as to the goals and scope of each database in each category. … The chapters are well written and provide a good introduction to the addressed topics … . Each chapter is an interesting and informative read in itself … . Overall, this edited volume provides a good reference to the current state of bioinformatics-related databases and as an introduction to the more common machine-learning techniques in bioinformatics.” (Iddo Friedberg, The Quarterly Review of Biology, Vol. 86, December, 2011)

 

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