Fundamentals of Data Mining in Genomics and Proteomics
ISBN-13:
9780387475080
ISBN-10:
0387475087
Edition:
2007
Author:
Daniel P. Berrar, Werner Dubitzky, Martin Granzow
Publication date:
2006
Publisher:
Springer
Format:
Hardcover
303 pages
Category:
Data Mining
,
Databases & Big Data
,
Anatomy
,
Biological Sciences
,
Biochemistry
,
Chemistry
,
Bioinformatics
,
Biology
,
Biotechnology
,
Genetics
,
Evolution
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Book details
ISBN-13:
9780387475080
ISBN-10:
0387475087
Edition:
2007
Author:
Daniel P. Berrar, Werner Dubitzky, Martin Granzow
Publication date:
2006
Publisher:
Springer
Format:
Hardcover
303 pages
Category:
Data Mining
,
Databases & Big Data
,
Anatomy
,
Biological Sciences
,
Biochemistry
,
Chemistry
,
Bioinformatics
,
Biology
,
Biotechnology
,
Genetics
,
Evolution
Summary
Fundamentals of Data Mining in Genomics and Proteomics (ISBN-13: 9780387475080 and ISBN-10: 0387475087), written by authors
Daniel P. Berrar, Werner Dubitzky, Martin Granzow, was published by Springer in 2006.
With an overall rating of 4.5 stars, it's a notable title among other
Data Mining
(Databases & Big Data, Anatomy, Biological Sciences, Biochemistry, Chemistry, Bioinformatics, Biology, Biotechnology, Genetics, Evolution) books. You can easily purchase or rent Fundamentals of Data Mining in Genomics and Proteomics (Hardcover) from BooksRun,
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Description
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
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