Ns126:Calendar/NOTES/2015-6-26: Difference between revisions
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File:Density.CorrelationDifferenceBetweenCancerNormal.jpg|Figure 1. Density plot for the correlation of high density CpG regions in 450K array between cancer and normals | File:Density.CorrelationDifferenceBetweenCancerNormal.jpg|Figure 1. Density plot for the correlation of high density CpG regions in 450K array between cancer and normals | ||
File:CorrelationDifferenceBetweenCancerNormal.jpg|Figure 1. Comparison of the correlation for the high density CpG regions in 450K array between cancer and normals | File:CorrelationDifferenceBetweenCancerNormal.jpg|Figure 1. Comparison of the correlation for the high density CpG regions in 450K array between cancer and normals | ||
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Revision as of 22:23, 26 June 2015
- Density.CorrelationDifferenceBetweenCancerNormal.jpg
Figure 1. Density plot for the correlation of high density CpG regions in 450K array between cancer and normals
- CorrelationDifferenceBetweenCancerNormal.jpg
Figure 1. Comparison of the correlation for the high density CpG regions in 450K array between cancer and normals
- high correction region based on methylation 450K dataset
- GSE53045 ( 50 smokers and 61 non-smokers, PBMC)
- GSE32148 ()
- GSE35069 Differential DNA Methylation in Purified Human Blood Cells
- GSE36054 Methylation Profiling of Blood DNA from Healthy Children
- GSE36064 Methylation Profiling of Blood DNA from Healthy Children (Harvard Age Study)
- GSE41169 Blood DNA methylation profiles in a Dutch population
- GSE44132 Antenatal Blood DNA Methylation Profiles
- GSE42861
It is very interesting result:
1) cancer have two peak
2) cancer have more higher correction regions