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Data Mining for Genomics and Proteomics
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Data Mining for Genomics and Proteomics - copertina rigida, flessible

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… Altro …

Nr. 18923155. Costi di spedizione:, Versandfertig innert 4 - 7 Werktagen, zzgl. Versandkosten. (EUR 16.69)
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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) - Dziuda, Darius M.
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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) - Prima edizione

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… Altro …

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Darius M. Dziuda:
Data Mining for Genomics and Proteomics - copertina rigida, flessible

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… Altro …

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Darius M. Dziuda:
Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining) - copertina rigida, flessible

2010, ISBN: 9780470163733

Wiley-Interscience, 2010-07-06. 1. Hardcover. Used:Good., Wiley-Interscience, 2010-07-06

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Darius M. Dziuda:
Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining) - copertina rigida, flessible

2010, ISBN: 9780470163733

Wiley-Interscience, 2010-07-06. Hardcover. Good., Wiley-Interscience, 2010-07-06

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Dettagli del libro
Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications, Band 1)

Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.

Informazioni dettagliate del libro - 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
Copertina rigida
Anno di pubblicazione: 2010
Editore: Wiley-Interscience
320 Pagine
Peso: 0,615 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-08-18T16:23:49+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2022-03-26T10:06:40+01:00 (Rome)
ISBN/EAN: 9780470163733

ISBN - Stili di scrittura alternativi:
0-470-16373-9, 978-0-470-16373-3
Stili di scrittura alternativi e concetti di ricerca simili:
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Dati dell'editore

Autore: Darius M. Dziuda
Titolo: Wiley Series on Methods and Applications; Data Mining for Genomics and Proteomics - Analysis of Gene and Protein Expression Data
Editore: Wiley-Interscience; John Wiley & Sons
328 Pagine
Anno di pubblicazione: 2010-07-20
Peso: 0,624 kg
Lingua: Inglese
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.

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