This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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132
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #307671 |
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Title:
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Statistical Practice in High-Throughput siRNA Screens Identifying Genes Mediating Sensitivity to Chemotherapeutic Drugs
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Author(s):
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Fei Ye*+ and Yu Shyr
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Companies:
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Vanderbilt University and Vanderbilt University
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Address:
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, Nashville, TN, 37232,
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Keywords:
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Abstract:
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Chemotherapeutic drug resistance is a critical challenge in the treatment of cancer, accountable for most cases of cancer treatment failure. High-throughput small interfering RNA (siRNA) screens have been used to find potential candidate genes that, when silenced, cause resistance to certain chemotherapy drugs. Several statistical methods have be applied to analyze siRNA data. In this work, we undertake an examination and evaluation of statistical approaches for identifying siRNAs that influence sensitivity to chemotherapeutic drugs using high-throughput siRNA screens. We focus on combined siRNA and drug effect on cell viability, control of false-positive and false-negative rates, and the influence of drug concentration on the statistical power .
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