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Course Info |
CSE 590CB is a weekly seminar on Readings and Research in
Computational Biology, open to all graduate students in computational,
biological, and mathematical sciences.
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Schedule |
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Papers, etc. |
Links to full papers below are often to journals that require a
paid subscription. The UW Library is generally a paid
subscriber, and you can freely access these articles if you do
so from an on-campus computer. For off-campus access,
look at the
library "proxy server" instructions.
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Abstract: Motivation: Selection of relevant genes is critical to accurately predict the class of a tissue sample from its gene expression profiles. In this talk, we present the merits of using Bayesian Model Averaging (BMA) in gene selection and classification on microarray data. Typical gene selection and classification procedures ignore model uncertainty such that one set of relevant genes (model) is chosen to predict the class. BMA accounts for the model uncertainty by averaging over multiple models (sets of potentially overlapping relevant genes). Results: We showed that BMA selects relatively small numbers of relevant genes and achieves high prediction accuracy on three microarray datasets. Our BMA algorithm is applicable to microarray datasets with any numbers of classes, outputs posterior probabilities for the selected genes and models. Our selected models are typically simple, consisting of only a few genes. By averaging over multiple simple models, our BMA algorithm achieves high prediction accuracy. |
10/18: Position-based Motif Discovery -- Jonathon, Travis (Emily)
10/25: Mammal Sequencing: Who's next? -- Alex, Ross (Martin)
11/01: Finding ncRNA Genes -- Brig, Zasha (Larry)
11/08: Docking -- Ora Furman, Biochemistry
11/15: Detecting Signatures in Proteins -- Divya, Kasia, Nan, Rosalia (Michal)
11/22: Integration of Biological Data -- Divya, Kasia, Nan, Rosalia (Michal)
11/29: Expression to Phylogeny -- Greg, Lisa, Zizhen (Joe)
12/06: Quality Assessment of Tandem Mass Spectra -- Amol, Becky (Bill)
CSE's Computational Molecular Biology research group
Interdisciplinary Ph.D. program in Computational Molecular Biology
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Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to cse590cb-webmaster@cs.washington.edu] |