Online Simulation

And More

Top Tags

  1. colorectal cancer
  2. OMIC analysis
  3. biomarker discovery
  4. screening
  5. health services research
  6. sample acquisition
  7. statistical models
  8. population-based models
  9. visual analytics
  10. lipidomics
  11. peptide synthesis
  12. diet
  13. peptides
  14. metabolomics
  15. cceHUB
  16. protocol
  17. multi-agent based modeling
  18. cancer care engineering
  19. quality improvement
  20. mass spectrometry
  21. cancer care systems
  22. gel electrophoresis
  23. money
  24. dust & magnet
  25. photocleavable linker

Other

Support

Trouble Report

For immediate assistance browse through our support center. You can find answers to many questions in just a few minutes.

If still experiencing problems, send us a report.

required
Why the math question?

CCE Retreat 2008 Part III

Posted 28 Aug, 2008 in Online Presentations

Contributor(s) Ann Christine Catlin
Rosen Center for Advanced Computing

David Ebert
Purdue University
Abstract Cancer Care Engineering Retreat Video Part III. (one hour)

image The following presentations are included in the video:
  • Stan Hamilton, MD. Professor of Pathology. MD Anderson Cancer Care Center. (continued) Advances in Colorectal Cancer Biomarker Discovery. (00:00-7:35)
  • David Ebert, Professor of Electrical and Computer Engineering, Purdue University. Visualization of the CCE Data. (8:24-39:30)
  • Ann Christine Catlin, Research Scientist, Rosen Center for Advanced Computing, Purdue University. The cceHUB as a Research Tool. (39:30-55:59)

Presentation slides and PDFs for David Ebert and Ann Christine Catlin are available here. The "slides" format for Ann Christine Catlin's presentation is animated; please use your mouse or the left arrow on your keyboard to move from slide to slide.



image
Cite this work

If you reference this work in a publication, please cite as follows:

  • Catlin, Ann Christine; Ebert, David (2008), "CCE Retreat 2008 Part III," http://ccehub.org/resources/37.

    BibTex | EndNote

Tags
  1. biomarker discovery
  2. cceHUB
  3. visual analytics