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Data mining for genomics and proteomics : analysis of gene and protein expression data / Darius M. Dziuda.

By: Dziuda, Darius MMaterial type: TextTextLanguage: English Series: Wiley series on methods and applications in data miningPublication details: Hoboken, N.J. : Wiley, c2010. Description: xvii, 319 p., [8] p. of plates : ill. (some col.) ; 24 cmISBN: 9780470163733 (cloth); 0470163739 (cloth)Subject(s): Genomics -- Data processing | Proteomics -- Data processing | Data mining | Genomics | Proteomics | Data MiningDDC classification: 572.86 DZD LOC classification: QH441.2 | .D98 2010NLM classification: 2010 I-161 | QU 26.5Online resources: OCLC | Ebook Fulltext
Contents:
DATA MINING FOR GENOMICS AND PROTEOMICS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1 INTRODUCTION; 2 BASIC ANALYSIS OF GENE EXPRESSION MICROARRAY DATA; 3 BIOMARKER DISCOVERY AND CLASSIFICATION; 4 THE INFORMATIVE SET OF GENES; 5 ANALYSIS OF PROTEIN EXPRESSION DATA; 6 SKETCHES FOR SELECTED EXERCISES; REFERENCES; INDEX.
Summary: 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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 572.86 DZD 2010 (Browse shelf(Opens below)) Not for loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 572.86 DZD 2010 (Browse shelf(Opens below)) C-1 Not For Loan 25195
Total holds: 0

Includes bibliographical references and index.

DATA MINING FOR GENOMICS AND PROTEOMICS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1 INTRODUCTION; 2 BASIC ANALYSIS OF GENE EXPRESSION MICROARRAY DATA; 3 BIOMARKER DISCOVERY AND CLASSIFICATION; 4 THE INFORMATIVE SET OF GENES; 5 ANALYSIS OF PROTEIN EXPRESSION DATA; 6 SKETCHES FOR SELECTED EXERCISES; REFERENCES; INDEX.

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.

Pharmacy

Tahur Ahmed

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