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Activity Number:
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87
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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General Methodology
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| Abstract - #307871 |
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Title:
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Scale-Based Methods in the Analysis of Proteomic Data
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Author(s):
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Timothy Randolph*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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1100 Fairview Ave. N., Seattle, WA, 98109,
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Keywords:
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discrimination ; proteomic data ; multi-scale ; regularization
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Abstract:
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This talk considers a variety of data from proteomic platforms and questions related to the goal of discriminating between groups. These data (noisy curves or images) are high dimensional in the sense that each datum consists of 1000s of measurements, but they are potentially (relatively) low dimensional in that they are highly locally correlated. We describe efforts to exploit local correlation and scale-based structure for normalization, feature extraction and/or regularization with the goal of class discrimination.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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