作者mangogogo ()
看板NCTU-STAT95G
標題[轉錄]1203演講＠交大統研所
時間Thu Nov 22 13:44:22 2007
※ [本文轉錄自 NCTU-STAT96G 看板]
作者: cyz ( ) 看板: NCTU-STAT96G
標題: 1203演講＠交大統研
時間: Wed Nov 21 13:24:29 2007
國立交通大學、清華大學
統計學研究所
專題演講
題 目：Outlier Tissue Approach for Microarray Data Analysis
主講人：Prof. Chen, Dung-Tsa (Department of Interdisciplinary
Oncology Moffitt Cancer Center & Research Institute, University of South
Florida)
時 間：96年12月3日(星期一)下午14:00-14:50
(下午13:40-14:00茶會於交大統計所428室舉行)
地 點：交大綜合一館427室
Abstract
Screening for cancer risk in patients remains challenge even with
radiographic and physical examinations. No reliable molecular screening tools
are currently available that can identify the patients at high risk for
cancer development or local recurrence. In this talk, I will describe a
statistical outlier approach to identify high-risk normal tissues which while
their pheno type looks like normal tissue, but their molecular signatures
tend to have tumor-like gene profile. Simulation has yielded promising
results. The approach is also successfully applied to a breast cancer data.
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