2010, ISBN: 9780470163733
Practical methods for mining gene and protein expression data Proper analysis and mining of the rapidly growing amount of available genomic and proteomic data is vital for advances in bio… More...
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Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications, Band 1) - First edition
2010, ISBN: 9780470163733
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Wiley-Interscience, Gebundene Ausgabe, Auflage: 1. 328 Seiten, Publiziert: 2010-07-20T00:00:01Z, Produktgruppe: Buch, 1.4 kg, Datenbanken, Computer & Internet, Kategorien, Bücher, Ingenie… More...
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ISBN: 9780470163733
Hardback, [PU: John Wiley and Sons Ltd], Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can b… More...
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Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining) - hardcover
2010, ISBN: 9780470163733
Wiley-Interscience, 2010-07-06. 1. Hardcover. Used:Good., Wiley-Interscience, 2010-07-06
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Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining) - hardcover
2010, ISBN: 9780470163733
Wiley-Interscience, 2010-07-06. Hardcover. Good., Wiley-Interscience, 2010-07-06
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2010, ISBN: 9780470163733
Practical methods for mining gene and protein expression data Proper analysis and mining of the rapidly growing amount of available genomic and proteomic data is vital for advances in bio… More...
Dziuda, Darius M.:
Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications, Band 1) - First edition2010, ISBN: 9780470163733
Hardcover
Wiley-Interscience, Gebundene Ausgabe, Auflage: 1. 328 Seiten, Publiziert: 2010-07-20T00:00:01Z, Produktgruppe: Buch, 1.4 kg, Datenbanken, Computer & Internet, Kategorien, Bücher, Ingenie… More...
ISBN: 9780470163733
Hardback, [PU: John Wiley and Sons Ltd], Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can b… More...
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Details of the book - Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications, Band 1)
EAN (ISBN-13): 9780470163733
ISBN (ISBN-10): 0470163739
Hardcover
Publishing year: 2010
Publisher: Wiley-Interscience
320 Pages
Weight: 0,615 kg
Language: eng/Englisch
Book in our database since 2007-08-18T15:23:49+01:00 (London)
Detail page last modified on 2022-03-26T09:06:40+00:00 (London)
ISBN/EAN: 0470163739
ISBN - alternate spelling:
0-470-16373-9, 978-0-470-16373-3
Alternate spelling and related search-keywords:
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Information from Publisher
Author: Darius M. Dziuda
Title: Wiley Series on Methods and Applications; Data Mining for Genomics and Proteomics - Analysis of Gene and Protein Expression Data
Publisher: Wiley-Interscience; John Wiley & Sons
328 Pages
Publishing year: 2010-07-20
Weight: 0,624 kg
Language: English
115,00 € (DE)
Not available (reason unspecified)
164mm x 238mm x 24mm
BB; Hardcover, Softcover / Informatik, EDV/Informatik; Datenbanken; Biowissenschaften; Computer Science; Data Mining; Data Mining Statistics; Database & Data Warehousing Technologies; Datenbanken u. Data Warehousing; Genomforschung u. Proteomik; Genomics; Genomics & Proteomics; Informatik; Life Sciences; Proteomics; Statistics; Statistik; Datenbanken u. Data Warehousing; Genomforschung u. Proteomik; Data Mining
Practical methods for mining gene and protein expression data Proper analysis and mining of the rapidly growing amount of available genomic and proteomic data is vital for advances in biomedical research. Data Mining for Genomics and Proteomics describes efficient methods for analysis of gene and protein expression data. Dr. Darius Dziuda demonstrates step by step how biomedical studies can and should be performed to maximize the chance of extracting new and useful biomedical knowledge from available data. Readers receive clear guidance on when to use particular data mining methods and why, along with the reasons why some popular approaches can lead to inferior results. This book covers all aspects of gene and protein expression analysis--from technology, data preprocessing, quality assessment, and basic exploratory analysis to unsupervised and supervised learning algorithms, feature selection, and biomarker discovery. Also presented is a novel method for identification of the Informative Set of Genes, defined as a set containing all information significant for the differentiation of classes represented in training data. Special attention is given to multivariate biomarker discovery leading to parsimonious and generalizable classifiers. In addition, exercises and examples of hands-on analysis of real-world gene expression data sets give readers an opportunity to put the methods they have learned to practical use. Data Mining for Genomics and Proteomics is an excellent resource for data mining specialists, bioinformaticians, computational biologists, biomedical scientists, computer scientists, molecular biologists, and life scientists. It is also ideal for upper-level undergraduate and graduate-level students of bioinformatics, data mining, computational biology, and biomedical sciences, as well as anyone interested in efficient methods of knowledge discovery based on high-dimensional data.More/other books that might be very similar to this book
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