Registration for a live webinar on 'Phasing Out Animal Testing: A New Era for Pharmaceutical Innovation' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
- Introduction to Genetic Diversity
-
1. The sources of genomic diversity
- Dr. George Nelson
-
2. Bioinformatics tools in conservation biology
- Dr. Mahmood Shivji
- Mr. Vincent Richards
- Populations, Samples and Biological Databases
-
3. Specimen banking: saving for the future
- Ms. Elaine Gunter
- Bioinformatics and Genome Analysis
-
4. Accessing and using ENCODE data
- Prof. Peggy Farnham
-
5. Information content in sequences and its relation to protein structure prediction
- Dr. Rosemarie Swanson
-
6. Pattern discovery in bioinformatics
- Prof. Giri Narasimhan
- Human Disease
-
7. Genes in common diseases
- Prof. Jennie Lou
-
8. The impact of genomic architecture and diversity on infectious diseases
- Prof. Vincent Chow
- Dr. Meena Sakharkar
- Archived Lectures *These may not cover the latest advances in the field
-
10. Unity and diversity in microbial genomes
- Dr. Kishore Sakharkar
-
13. Widespread structural variations in the human genome
- Dr. Charles Lee
-
14. Human genome variation
- Dr. Kelly Frazer
-
15. Human genetic variation and therapeutic development
- Dr. Sally John
- Dr. Nick Davies
-
17. Population genetics studies in Africa: curiosity and challenges
- Prof. Himla Soodyall
-
18. Sample collection for human genetics
- Dr. Michael Dean
Printable Handouts
Navigable Slide Index
- Introduction
- Cancer
- Information flow in cells
- Some basic assumptions
- How genes affect phenotype?
- Global expression analysis
- Hybridization: the basic principle
- Glass slide microarrays
- Competitive hybridization
- GeneChip and CodeLink microarrays
- Comparative hybridization
- Biological questions
- Data properties: supervised or unsupervised
- Separability
- Study goals (1)
- Study goals (2)
- Characteristics of microarray data
- Structure of microarray data (1)
- Structure of microarray data (2)
- Curse of dimensionality
- Concentration of measure
- Blessings of smoothness
- Multimodality (1)
- Multimodality (2)
- An example study
- Breast cancer questions
- Supervising data
- Analysis approach
- Reducing dimensionality (1)
- Reducing dimensionality (2)
- Clustering and gene selection
- Validation
- Summary
- 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:
Categories:
Therapeutic Areas:
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 21, 2025, from https://doi.org/10.69645/JGKB7098.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Robert Clarke has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Exploring and predicting phenotype and function in cancer biology: working in high dimensional data spaces
A selection of talks on Cancer
Hide