Measuring the Similarity of Co-Regulated Genes by Integrating Quantity and Tendency of Gene Expression Changing

This paper defines a new correlation coefficient SMBS which using both quantity and tendency in gene expression changing to measure the similarity among genes. The SMBS applies to K-means clustering algorithm and the result shows more co-regulated genes are found comparing with the CLUSTER3.0.

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Bibliographic Details
Main Authors: Han, Wang, Zhou, Chunguang, Zheng, Ming, Zheng, Shanhong, Liu, Guixia, Lei, Liu, Li, Yanwen
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
Computer science
Distance measurement
Educational institutions
Euclidean distance
Fungi
Gene expression
Paper technology
Regulators
Testing
Online Access:Request full text
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Description
Summary:This paper defines a new correlation coefficient SMBS which using both quantity and tendency in gene expression changing to measure the similarity among genes. The SMBS applies to K-means clustering algorithm and the result shows more co-regulated genes are found comparing with the CLUSTER3.0.
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2008.803