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Activity Number:
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379
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300162 |
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Title:
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Reverse Engineering To Construct Protein-Protein Interaction Network
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Author(s):
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Susmita Datta*+ and Vasyl Pihur and Somnath Datta
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Companies:
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University of Louisville and University of Louisville and University of Louisville
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Address:
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Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, Louisville, KY, 40202,
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Keywords:
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Gene, Protein, Network, PLS
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Abstract:
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Detecting gene-gene and protein-protein interactions is an expensive and labor-intensive process. The two hybrid systems are the most common method used for detecting physical interactions. Unfortunately, due to its high false positive discovery rates, it has received a lot of criticism in the literature. Hence computational approaches to reverse engineering of gene and protein association networks are of great interest to biologists as they allow for an indirect elucidation of relationships between genes or proteins through existing post-gnomic, usually microarray data. Examples of computational approaches include Bayesian networks, auto-regressive models, correlation-based models, clustering techniques, etc. We propose a novel computational method based on the partial least squares to uncover the relationships between genes/proteins.
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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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