Microarray Quality Control / Edition 1

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Microarray technology provides researchers in the life sciences with a revolutionary tool for measuring gene expression. However, this highly developed process involves multiple steps, from sample selection to data analysis, each susceptible to potentially costly errors. Without sound quality control, experimental microarrays may produce useless or, even worse, misleading results.
Microarray Quality Control provides a comprehensive resource for ensuring quality control in every step of this complex process. From experimental design to data processing, analysis, and interpretation, the emphasis in this text remains on practical advice for each stage of planning and running a microarray study. Chapters cover:
* Quality of biological samples
* Quality of DNA
* Hybridization protocols Scanning
* Data acquisition
* Image analysis
* Data analysis
Written for the broad group of workers-biologists, mathematicians, statisticians, engineers, physicians, and computational scientists-involved in microarray studies, Microarray Quality Control features a straightforward style easily accessed by various disciplines. Useful checklists and tips help ensure the integrity of results, and each chapter contains a thorough review of pertinent literature.
The only complete, systematic treatment of the topic available, Microarray Quality Control offers students and practitioners an invaluable resource for improving experimental quality and efficiency.
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Editorial Reviews

From the Publisher
"…a thought-provoking book…highly useful to statisticians, biologists, engineers, medical researchers, and medical scientists." (Journal of Statistical Computation and Simulation, September 2005)

"The book may be recommended for all researchers and students working with the DNA microarray technology" (Annals of Biomedical Engineering, June 2005)

"...a useful source of ideas and potential issues." (Journal of the American Statistical Association, June 2005)

"This book is recommended [for] all libraries serving researchers using high-throughput techniques." (E-STREAMS, March 2005)

“…an essential laboratory resource for scientists studying gene regulation and for all experimental biologists interested in the emerging practical applications of microarrays.” (Engineering in Life Sciences, Vol.5, No.5, 2004)

"…offers practical guidance for each stage of planning and execution of microarray studies…" (Genetic Engineering News, Vol. 24, No. 6, March 15, 2004)

"…the breadth of issues encompassed by quality control in microarray studies are covered…a valuable systematic treatment of microarray quality control." (Drug Discovery and Development, March 2004)

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Product Details

  • ISBN-13: 9780471453444
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 3/5/2004
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 144
  • Product dimensions: 6.36 (w) x 9.55 (h) x 0.68 (d)

Meet the Author

Wei Zhang, Ph.D., received his Ph.D. degree from The University of Texas Graduate School of Biomedical Sciences.  He joined the faculty of M. D. Anderson Cancer Center in 1994 where he is currently an Associate Professor and the Director of the Cancer Genomics Core Laboratory. Dr. Zhang’s research programs include cancer genomics and informatics, tumor suppressor genes, and signal transduction studies. Dr. Zhang has published over 100 peer-reviewed research papers, 14 book chapters and two books (Statistical and Computational Approaches to Genomcis, Genomic and Molecular Neuro-Oncology). Dr. Zhang is an Associate Editor for American Association of Cancer Research journal Clinical Cancer Research, and serves on editorial board of journals Cancer Biology and Therapy, Histology and Histopathology, International Journal of Oncology, BMC Genomics, Technology in Cancer Research and Treatment, and Molecular Cancer.

Ilya Shmulevich, Ph.D., received his Ph.D. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, Indiana in 1997. In 1997-1998, he was a postdoctoral researcher at the Nijmegen Institute for Cognition and Information at the University of Nijmegen and National Research Institute for Mathematics and Computer Science at the University of Amsterdam in The Netherlands, where he studied computational models of music perception and recognition.  In 1998-2000, he worked as a senior researcher at the Tampere International Center for Signal Processing at the Signal Processing Laboratory in Tampere University of Technology, Tampere, Finland. Presently, he is an Assistant Professor at the Cancer Genomics Laboratory at The University of Texas M. D. Anderson Cancer Center in Houston, TX. He is an Associate Editor of Environmental Health Perspectives: Toxicogenomics. His research interests include computational genomics, nonlinear signal and image processing, computational learning theory, and music recognition and perception.

Jaakko Astola, Ph.D., received his B.Sc., M.Sc. and Ph.D. degrees from Turku University, Finland. He has worked at Turku University, the Research Institute for Mathematical Sciences of Kyoto University, Kyoto, Japan, Lappeenranta University of Technology, Lappeenranta, Finland, and Eindhoven University of Technology, The Netherlands. From 1987 to 1992 he was Associate Professor in Applied Mathematics at Tampere University, Tampere, Finland. From 1993 he has been Professor of Signal Processing at Tampere University of Technology leading a group of about 60 scientists and was nominated Academy Professor by Academy of Finland (2001-2006). His research group was elected as a Centre of Excellence in Research by the Academy of Finland for the years 2000-2005. He is also director of Tampere International Center for Signal Processing (founded 1997) that has already hosted numerous visiting scientists in Signal Processing as well as organized workshops and conferences. He has about 25 years of experience in teaching both undergraduate and graduate level. He has likewise 25 years of experience in scientific research in mathematics, communications theory, and signal processing. He has authored over 400 papers and four textbooks on signal processing and its applications.

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Table of Contents

This book covers the breadth of issues encompassed by quality control in microarray studies, including quality of biological samples, quality of DNA, hybridization protocols, scanning, data acquisition, image analysis, and data analysis. Its unique focus on quality control addresses a serious knowledge gap amongst the interdisciplinary group of workers, biologists, mathematicians, statisticians, engineers, physicians, and computational scientists involved in microarray studies. This book provides the only systematic treatment of quality control beginning with experimental design through to interpreting results.
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