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. Ed(S): Carugo, Oliviero; Eisenhaber, Frank - Data Mining Techniques for the Life Sciences - 9781603272407 - V9781603272407
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Data Mining Techniques for the Life Sciences

€ 128.84
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Description for Data Mining Techniques for the Life Sciences Hardback. In this book, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. The book covers a wide range of biological systems and in silico approaches. Editor(s): Carugo, Oliviero; Eisenhaber, Frank. Series: Methods in Molecular Biology. Num Pages: 407 pages, 41 black & white tables, biography. BIC Classification: PS; UNF. Category: (P) Professional & Vocational. Dimension: 189 x 263 x 31. Weight in Grams: 950.
Most life science researchers will agree that biology is not a truly theoretical branch of science. The hype around computational biology and bioinformatics beginning in the nineties of the 20th century was to be short lived (1, 2). When almost no value of practical importance such as the optimal dose of a drug or the three-dimensional structure of an orphan protein can be computed from fundamental principles, it is still more straightforward to determine them experimentally. Thus, experiments and observationsdogeneratetheoverwhelmingpartofinsightsintobiologyandmedicine. The extrapolation depth and the prediction power of the theoretical argument in life sciences still have a long way to ... Read more

Product Details

Format
Hardback
Publication date
2009
Publisher
Humana Press Inc. United States
Number of pages
407
Condition
New
Series
Methods in Molecular Biology
Number of Pages
407
Place of Publication
Totowa, NJ, United States
ISBN
9781603272407
SKU
V9781603272407
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Data Mining Techniques for the Life Sciences
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. ... Read more

Goodreads reviews for Data Mining Techniques for the Life Sciences


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