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Can I read Graphical Modeling Based Gene Interaction Analysis for Microarray Data on EtoBox?
Graphical Modeling Based Gene Interaction Analysis for Microarray Data by Xintao Wu; Yong Ye; Liying Zhang is a Computer Science article available to read on EtoBox.
What is Graphical Modeling Based Gene Interaction Analysis for Microarray Data about?
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that show similar expression patterns. However, this approach usually fails to unveil gene-gene interactions in the same cluster. In this paper, we propose to use graphical modeling based interaction analysis for this purpose. We apply graphical gaussian model to discover pairwise gene interactions and use loglinear model to discover multi-gene interactions. We have constructed a prototype system that permits rapid interactive exploration of gene relationships; results can be validated by experts or known information, or suggest new experiments. We have tested our methodology using the yeast microarray data. Our results reveal some previously unknown interactions that have solid biological explanations.
Who reads Graphical Modeling Based Gene Interaction Analysis for Microarray Data?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Xintao Wu; Yong Ye; Liying Zhang
- Publisher
- ACM
- Published
- 2003
- Language
- EN
- Field
- Computer Science (Physical Sciences)