Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Can high-throughput genomics data identify new therapeutic targets
Transcript
Biomedical Engineering Seminar Series Johns Hopkins School of Medicine and the Whiting School of Engineering Rachel Karchin, PhD Assistant Professor Johns Hopkins University Department of Biomedical Engineering Institute for Computational Medicine Monday, October 4, 2010, at 1:30 Homewood Campus, Rome Room, Clark 110 Host: Dr. Elliot McVeigh Video-Teleconferenced to the Medical Campus, Talbot Library, Traylor 709 Light lunch will be provided in Clark 110 Can high-throughput genomics data identify new therapeutic targets in cancer? Major public and private efforts are underway to systematically resequence tumor genomes, with the hope that analysis of this data will fundamentally change the way cancer is treated. By identifying the oncogenic addictions and altered pathways in a certain cancer type or subtype, the cancer genomics community aims to help pinpoint targeted therapies or combinations of therapies that will most benefit individual patients, and to shorten time and reduce costs involved in drug development. I will discuss a software tool being developed in my group to assist these efforts. CHASM is a machine learning method that attempts to find genes not previously linked to tumorigenesis that may be somatically mutated in a relatively small fraction of tumors, but are important for tumor initiation or progression. Upcoming Seminars October 11: Wie Chen, University of Texas Medical School at Houston October 18: Gordana Vunjak-Novakovic, Columbia University http://www.hopkinsmedicine.org/ibbs/news/events.html http://www.hopkinsmedicine.org/scical http://www.bme.jhu.edu For more information call 410-955-3132
