Recorded: 08 May 2012
In, in 2000 Terry Furey and I, also with Bill Noble, published some papers in using pattern recognition methods to distinguish cancer expression data from similar expression data from noncancerous tissues. These use support vectors machines which was another methodology which was highly utilized by the, and invented by the pattern recognition machine learning community that I was so much a part of.
Well, we applied the support vector machines to distinguish cancer tissue from normal tissue using micro-ray expression information, the leaders of that were, were Terry Furey, post-doc in my lab, actually he was a grad student…so grad students Terry Furey and Michael Brown and my post-doc Bill Noble who is now at the University of Washington.
David Haussler (born 1953) is an American bioinformatician known for his work leading the team that assembled the first human genome sequence in the race to complete the Human Genome Project and subsequently for comparative genome analysis that deepens understanding the molecular function and evolution of the genome. He is a Howard Hughes Medical Institute Investigator, professor of biomolecular engineering and director of the Center for Biomolecular Science and Engineering at the University of California, Santa Cruz, director of the California Institute for Quantitative Biosciences (QB3) on the UC Santa Cruz campus, and a consulting professor at Stanford University School of Medicine and UC San Francisco Biopharmaceutical Sciences Department.