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Cancer Diagnostics with DNA Microarrays [Hardcover]

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  • Category: Books (Medical)
  • Author:  Knudsen, Steen
  • Author:  Knudsen, Steen
  • ISBN-10:  0471784079
  • ISBN-10:  0471784079
  • ISBN-13:  9780471784074
  • ISBN-13:  9780471784074
  • Publisher:  Wiley-Liss
  • Publisher:  Wiley-Liss
  • Pages:  211
  • Pages:  211
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2006
  • Pub Date:  01-May-2006
  • SKU:  0471784079-11-SPLV
  • SKU:  0471784079-11-SPLV
  • Item ID: 105142566
  • List Price: $229.95
  • Seller: ShopSpell
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  • Delivery by: Oct 11 to Oct 13
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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.

Preface.

Acnowldegments.

1. Introduction to DNA Microarray Technology.

2. Image Analysis.

3. Basic Data Analysis.

4. Visualization by Reduction of Dimensionality.

5. Cluster Analysis.

6. Molecular Classifiers for Cancer.

7. Survival Analysis.

8. Meta-Analysis.

9. The Design of Probes.

10. Software Issues and Data Formats.

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