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Additional file 1.

Table S1. Table that demonstrates the results from a mixed logit model of discrete choice experiment data from all final year undergraduate nursing students. (DOCX 15 kb)

Figure S1. Comparison of the methods MEDIPS_normal and MEDIPS. Pearson correlation coefficient (PCC) between MeDIP-seq and RRBS data calculated for four cell types: A GM12878; B K562; C foreskin fibroblasts; and D mammary epithelial. Y-axis shows the PCC. X-axis shows the varying parameter bin size from 25â bp to 100â bp. Boxplot illustrates the variation of PCC across the 22 chromosomes. (PDF 8 kb)

Correcting CpG density bias by the normal curve and Using WGBS data for validation. (DOCX 16 kb)

Figure S2. Comparison of the methods MEDIPS_normal and MEDIPS. Spearman correlation coefficient (SCC) between MeDIP-seq and RRBS data calculated for four cell types. A GM12878; B K562; C foreskin fibroblasts; and D mammary epithelial cells. Y-axis shows the SCC values. X-axis shows the varying parameter bin size from 25â bp to 100â bp. Boxplot illustrates the variation of SCC across the 22 chromosomes. (PDF 10 kb)

Figure S3. Comparison of all methods for inferring CpG methylation levels based on DNA enrichment data. A Pearson (PCC) and B Spearman correlation coefficients (SCC) between the MeDIP-seq and WGBS data for the GM12878 cell line are calculated. Y-axis shows the PCC or SCC values. X-axis shows the varying parameter bin size from 25â bp to 100â bp. Boxplot illustrates the variation of PCC and SCC across the 22 chromosomes. (PDF 9 kb)