Figure 1
Identification of regional expression biases. A multiple span moving binomial test was applied to gene expression data to identify regional expression biases. A. Plot of log2-transformed tumor verses non-tumor expression ratios (m = 468) that map to chromosome 6 of sample HK1 organized from the p-arm telomere (left) to the q-arm telomere (right). B. Heatmap of the set of estimations generated by applying an approximated binomial function (see Materials and Methods) to the gene expression data using window spans of i = [25,...,m/3]. Genomic regions that contains a disproportionate number of relatively decreased expression values are shown in blue while genomic regions that show a disproportionate number of relatively increased expression values are shown in red. The color intensity indicates the significance of the expression bias. The highest intensity blue color indicates a z-score ≤ -4 while highest intensity red indicates a z-score ≥ 4 C. At each measured loci, an average z-score was computed from the set of estimations from each window span shown in B and plotted. Significantly down-regulated regional expression bias estimations are highlighted in blue (z ≤ -1.96, p ≈ 0.05) and up-regulated bias estimations highlighted in red (z ≥ 1.96, p ≈ 0.05).