Fundamentals of Data Mining in Genomics and Proteomics
ISBN-13:
9781441942913
ISBN-10:
1441942912
Edition:
Softcover reprint of hardcover 1st ed. 2007
Author:
Daniel P. Berrar, Werner Dubitzky, Martin Granzow
Publication date:
2010
Publisher:
Springer
Format:
Paperback
303 pages
Category:
Anatomy
,
Biological Sciences
,
Biochemistry
,
Chemistry
,
Bioinformatics
,
Biotechnology
,
Genetics
,
Evolution
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Book details
ISBN-13:
9781441942913
ISBN-10:
1441942912
Edition:
Softcover reprint of hardcover 1st ed. 2007
Author:
Daniel P. Berrar, Werner Dubitzky, Martin Granzow
Publication date:
2010
Publisher:
Springer
Format:
Paperback
303 pages
Category:
Anatomy
,
Biological Sciences
,
Biochemistry
,
Chemistry
,
Bioinformatics
,
Biotechnology
,
Genetics
,
Evolution
Summary
Fundamentals of Data Mining in Genomics and Proteomics (ISBN-13: 9781441942913 and ISBN-10: 1441942912), written by authors
Daniel P. Berrar, Werner Dubitzky, Martin Granzow, was published by Springer in 2010.
With an overall rating of 3.5 stars, it's a notable title among other
Anatomy
(Biological Sciences, Biochemistry, Chemistry, Bioinformatics, Biotechnology, Genetics, Evolution) books. You can easily purchase or rent Fundamentals of Data Mining in Genomics and Proteomics (Paperback) from BooksRun,
along with many other new and used
Anatomy
books
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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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