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INTERVIEW: DEFINING CANCER'S GENETIC SUPPORT NETWORK - Interview with Sayan Mukherjee, Ph.D. and Elena Edelman from the Institute for Genome Sciences and Policy at Duke University
Researchers at Duke University's Institute for Genome Sciences & Policy (IGSP) have developed a new method that essentially does for the genetic pathways underlying cancer what social networking web sites can do for people: It finds the connections among them. The team reported its findings in PLoS Computational Biology on Feb. 15.
During this weeks podcast, Dr. Sayan Mukherjee, an IGSP investigator and assistant professor in Duke's department of statistical science, and graduate student Elena Edelman, provide details on their novel technique and talk about what they were able to specifically demonstrate. Noting that their major innovation was the use of gene sets rather than just single genes in modeling tumor progression, the scientists describe why this was such a productive approach. They go on to explain how their modeling method enabled their team to characterize gene networks as they evolve over the course of tumor progression. The researchers also discuss the particular types of cancer that were amenable to analysis by the new approach and why.
3/7/2008
Congratulations.Very interesting approach. Our group Society Quality Medicine starts new research to influence of certain proteins to genetic profiles in nutrigenomics. Do you think your findings could be supporting for us, and if yes how can we get access to it.
3/8/2008
your article found to be more effective and informative thanks for your kind inforamtions ....
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