Skip to main content
Figure 1 | BMC Bioinformatics

Figure 1

From: An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse

Figure 1

Correlation of median expression distance with the regulatory similarity in seven data sets. Each point is the observed median expression distance of gene pairs as a function of the number of common TFBMs in the pairs. Two expression distance measures are used: (a) 1 minus correlation, and (b) the new expression distance measure. For each data set, the correlation between median expression distance and regulatory similarity is computed. To calculate the significance of such correlations, the mapping between genes and their promoter regions were permuted 500 times. When fewer than 5 gene pairs have certain regulatory similarity, the median expression distance is computed after combining nearest regulatory similarities to make each point in the plots represent at least 5 gene pairs. The genes that share large number of common TFBMs are more likely to have correlated expression patterns: sometimes, the effect is present only when they share enough common TFBMs. Table 1 summarizes the results with 7 different distance measures. The figure and the Table 1 show that, while all other distance measures perform similar, the new distance measure correlates best with the regulatory similarity. Only the new distance measure correlates significantly with all seven data sets.

Back to article page