Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Google eBook)

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John Wiley & Sons, Jul 16, 2010 - Computers - 328 pages
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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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Contents

ACKNOWLEDGMENTS
xvii
1 INTRODUCTION
1
2 BASIC ANALYSIS OF GENE EXPRESSION MICROARRAY DATA
17
3 BIOMARKER DISCOVERY AND CLASSIFICATION
95
4 THE INFORMATIVE SET OF GENES
201
5 ANALYSIS OF PROTEIN EXPRESSION DATA
219
6 SKETCHES FOR SELECTED EXERCISES
253
REFERENCES
289
INDEX
307
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About the author (2010)

Darius M. Dziuda, PhD, is Associate Professor of Data Mining and Statistics in the Department of Mathematical Sciences at Central Connecticut State University (CCSU). His research and professional activities have been focused on efficient data mining of biomedical data and on methods for identification of parsimonious multivariate biomarkers for medical diagnosis, prognosis, personalized medicine, and drug discovery. For CCSU's data mining program, Dr. Dziuda developed and teaches graduate-level courses on Data Mining for Genomics and Proteomics and on Biomarker Discovery.

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