Robust cross-race gene expression analysis
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our design handles this problem by using the BN framework. In addition, unlike existing methods that unrealistically assume ind...
Main Authors: | Ramoni, Marco F., Chang, Hsun-Hsien |
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Other Authors: | Harvard University--MIT Division of Health Sciences and Technology |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
|
Online Access: | http://hdl.handle.net/1721.1/58098 |
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