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

摘要

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.