Data mining for genomics and proteomics: analysis of gene and protein expression data

Proper analysis and mining of the rapidly growing amount of available data isvery important for advances in biomedical research; examples include new diagnostic and prognostic markers, individualized medicine, new knowledge allowingthe understanding of biological phenomena underlying specific diseases, advances in drug discovery and many others. Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to show the diverse readership how biomedical studies (utilizing gene or protein expression data) are performed and how these studies should be performed to maximize the chance of extracting new and useful biomedical knowledge from available data.Darius M. Dziuda, Assistant Professor of Data Mining and Statistics, Department of Mathematical Sciences, Central Connecticut State University. Professor Dziuda has a Ph.D. in Computer Science from Warsaw University of Technology andextensive academic and biotech experience in data mining and biomarker discovery. His research and professional activities have been focused on multivariate methods and their application to efficient data mining of biomedical data. He has co-authored thirteen U.S. patent applications in the area of bioinformatics and drug discovery. In 2006, two of the applications have been issued U.S.patents.

• ISBN: 978-0-470-16373-3
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 336
• Fecha Publicación: 23/04/2010
• Nº Volúmenes: 1
• Idioma: Inglés