Description

Book Synopsis
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.

Trade 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)

Table of Contents
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.

11. Breast Cancer.

12. Leukemia.

13. Lymphoma.

14. Lung Cancer.

15. Bladder Cancer.

16. Colon Cancer.

17. Ovarian Cancer.

18. Prostate Cancer.

19. Melanoma.

20. Brain Tumors.

21. Organ or Tissue Specific Classification.

22. Sample Collection and Stability.

References.

Index.

Cancer Diagnostics with DNA Microarrays

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    A Hardback by Steen Knudsen

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      Book details

      Publisher John Wiley & Sons Inc
      Published 3 October 2006
      ISBN-13 9780471784074
      978-0471784074
      ISBN-10 0471784079
      Also in:
      Medical diagnosis Biology, life sciences

      Description

      Book Synopsis
      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.

      Trade 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)

      Table of Contents
      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.

      11. Breast Cancer.

      12. Leukemia.

      13. Lymphoma.

      14. Lung Cancer.

      15. Bladder Cancer.

      16. Colon Cancer.

      17. Ovarian Cancer.

      18. Prostate Cancer.

      19. Melanoma.

      20. Brain Tumors.

      21. Organ or Tissue Specific Classification.

      22. Sample Collection and Stability.

      References.

      Index.

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