Abstract Details
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Activity Number:
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18
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #308519 |
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Title:
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Integrative Analysis of Disparate Contaminated Data Sets
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Author(s):
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Junrui Di*+ and Valeriy Korostyshevskiy
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Companies:
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Georgetown University and Georgetown University
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Keywords:
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integrative analysis ;
disparate contaminated data ;
JIVE ;
robust JIVE
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Abstract:
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An important challenge posed by the omics revolution is the development of methods for integrated analyses of disparate biological data. Recently Lock et al. (2011) introduced a method called Joint and Individual Variation Explained (JIVE). We propose a robust version of JIVE using low-rank approximations based on robust singular value decomposition methods. Using a simulation study we investigate the performance of the robust JIVE method under different scenarios involving contaminated data.
Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University 4000 Reservoir Road, NW, Washington DC, 20057-1484
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Authors who are presenting talks have a * after their name.
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