• Introduction to Genetic Diversity
• 72 min
  1. The sources of genomic diversity

  • Dr. George Nelson
• 27 min
  2. Bioinformatics tools in conservation biology

  • Dr. Mahmood Shivji
  • Mr. Vincent Richards
• Populations, Samples and Biological Databases
• 48 min
  3. Specimen banking: saving for the future

  • Ms. Elaine Gunter
• Bioinformatics and Genome Analysis
• 44 min
  4. Accessing and using ENCODE data

  • Prof. Peggy Farnham
• 47 min
  5. Information content in sequences and its relation to protein structure prediction

  • Dr. Rosemarie Swanson
• 40 min
  6. Pattern discovery in bioinformatics

  • Prof. Giri Narasimhan
• Human Disease
• 38 min
  7. Genes in common diseases

  • Prof. Jennie Lou
• 42 min
  8. The impact of genomic architecture and diversity on infectious diseases

  • Prof. Vincent Chow
  • Dr. Meena Sakharkar
• 29 min
  9. The predominant clonal evolution (PCE) concept of microbial pathogens and its practical usefulness

  • Dr. Michel Tibayrenc
• Archived Lectures *These may not cover the latest advances in the field
• 29 min
  10. Unity and diversity in microbial genomes

  • Dr. Kishore Sakharkar
• 38 min
  11. Analysis of protein-protein interaction, transcriptional regulation and metabolic networks

  • Dr. Andreas Wagner
• 39 min
  12. Exploring and predicting phenotype and function in cancer biology: working in high dimensional data spaces

  • Prof. Robert Clarke
• 59 min
  13. Widespread structural variations in the human genome

  • Dr. Charles Lee
• 39 min
  14. Human genome variation

  • Dr. Kelly Frazer
• 36 min
  15. Human genetic variation and therapeutic development

  • Dr. Sally John
  • Dr. Nick Davies
• 62 min
  16. Evolving genomic approaches to the study of complex cardiovascular diseases in human populations: genetic and genomic epidemiology

  • Dr. Christopher O'Donnell
• 42 min
  17. Population genetics studies in Africa: curiosity and challenges

  • Prof. Himla Soodyall
• 37 min
  18. Sample collection for human genetics

  • Dr. Michael Dean
• 40 min
  19. Diagnosis of early relapse in ovarian cancer using serum proteomic profiling

  • Dr. Jean Gao

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Cancer
3. Information flow in cells
4. Some basic assumptions
5. How genes affect phenotype?
6. Global expression analysis
7. Hybridization: the basic principle
8. Glass slide microarrays
9. Competitive hybridization
10. GeneChip and CodeLink microarrays
11. Comparative hybridization
12. Biological questions
13. Data properties: supervised or unsupervised
14. Separability
15. Study goals (1)
16. Study goals (2)
17. Characteristics of microarray data
18. Structure of microarray data (1)
19. Structure of microarray data (2)
20. Curse of dimensionality
21. Concentration of measure
22. Blessings of smoothness
23. Multimodality (1)
24. Multimodality (2)
25. An example study
26. Breast cancer questions
27. Supervising data
28. Analysis approach
29. Reducing dimensionality (1)
30. Reducing dimensionality (2)
31. Clustering and gene selection
32. Validation
33. Summary
34. Acknowledgments

Topics Covered

• Genes and phenotypes
• Gene expression microarrays
• Data properties
• Structure of microarray data
• Curse of dimensionality
• Concentration of measure
• Blessing of smoothness
• Multimodality
• Data analysis
• Reducing dimensionality
• Clustering and gene selection
• Validation

Links

Series:

• Using Bioinformatics in the Exploration of Genetic Diversity

Categories:

• Cancer
• Genetics & Epigenetics
• Methods

Therapeutic Areas:

• Oncology

Talk Citation

Clarke, R. (2007, October 1). Exploring and predicting phenotype and function in cancer biology: working in high dimensional data spaces [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved March 20, 2025, from https://doi.org/10.69645/JGKB7098.
Export Citation (RIS)

Publication History

• Published on October 1, 2007
• Archived on May 31, 2018

Financial Disclosures

• Prof. Robert Clarke has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.