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Cancer Diagnostics with DNA Microarrays
 
 
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Cancer Diagnostics with DNA Microarrays [Hardcover]

Steen Knudsen (Author)

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Book Description

September 11, 2006
Authored by an international authority in the field,Cancer Diagnostics with DNA Microarrays is a complete reference work on the rapidly growing use of DNA microarray data in the diagnosis of and treatment planning for a large number of human cancers.
  • Uniquely deals with direct clinical application of microarray data to oncology diagnosis, leading to more effective diagnosis of and clearer treatment regimens for a wide range of human cancers
  • Offers clinicians summary presentation of state-of-the-art science of DNA microarrays
  • Each chapter includes bibliographic and further reading suggestions
  • Easily accessible, assuming no special training in statistics or bioinformatics

Replete with examples and mini-cases, Cancer Diagnostics with DNA Microarrays offers cancer researchers in private, pharmacologic, and governmental institutions, biomedical statisticians, and practicing oncologists concise, thoughtfully authored guidance on the use of microarray data and analysis as clinical tools. The text carefully addresses the needs of end users – researchers and physicians – using microarrays as a tool to be applied in common clinical situations, and is of interest for students in medicine and biology and professionals in health care as well.


Editorial Reviews

Review

"…a ground-breaking addition…the best manual presently available on the use of DNA Microarrays in frontline cancer research." (Electric Review, February/March 2007)

From the Back Cover

Learn how to use DNA microarrays in the fight against cancer

This text provides a first-time comprehensive review and analysis of the state of the art in clinical applications of DNA microarray data in cancer diagnostics. The acclaimed author, an international authority in the field, reviews published clinical trials for ten common cancer types. Moreover, the text provides a meta-analysis of these trials to highlight where the results concur.

The author begins with a discussion of the state of DNA microarray technology, emphasizing important aspects of data analysis. Emerging technologies within the field of DNA microarrays are presented. Next, readers learn the statistical analysis techniques needed to interpret the data. Finally, the author examines some major human cancer types where microarrays have been applied with success. The author concludes, based on the evidence and his own studies in the field, that the results are so convincing for several cancer types that DNA microarrays are ready to be deployed in clinical practice.

The text provides many features for researchers and clinicians who want to use microarrays as a hands-on diagnostic tool, including:

  • Examples and mini-cases that illustrate real-world applications
  • Further reading suggestions in each chapter to facilitate continued investigation of particular topics
  • Detailed recipes and software code for executing the techniques and analysis described in the text
  • Accessible, straightforward presentations that do not presume special training in statistics or bioinformatics

With the promise of DNA microarrays leading to more accurate cancer diagnoses, this text is an invaluable guide that opens the door to better care for cancer patients.


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mapped subnetwork, tool using principal component analysis, vector angle distance, patient axes, affy package, prognosis classification, dye bias, spotted arrays, different classification methods, independent test set, linear normalization, spatial bias, prognosis prediction, microarray studies
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Cancer Res, John Wiley, Cancer Diagnostics, Principles of Human Anatomy, Pacific Symposium, Support Vector Machine, Genome Biol, Good Intermediate Poor, Nucleic Acids Res, New York, Unanimous Good, Unanimous Poor, Expression Readings of Four Genes, American Joint Committee, Nature Biotechnol, American Cancer Society, Average Difference, First Principal Component Figure
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