Ns126:Calendar/NOTES/2015-7-12: Difference between revisions
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File:WGBS.Phase2.Cluster.Revised.jpeg|Figure 1A. Hierarchical clustering based on WGBS revealed the relationships between hESC, N37 normals, Salk normals and cancers | File:WGBS.Phase2.Cluster.Revised.3.jpeg|Figure 1A. Hierarchical clustering based on WGBS revealed the relationships between hESC, N37 normals, Salk normals and cancers | ||
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File:SeqCap.Phase2.Cluster.Revised.jpeg|Figure 1C.Hierarchical clustering based on SeqCap revealed the relationships between Plasma, Nomal and Cancer tissues. | File:SeqCap.Phase2.Cluster.Revised.jpeg|Figure 1C.Hierarchical clustering based on SeqCap revealed the relationships between Plasma, Nomal and Cancer tissues. | ||
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===Relationship between samples in the propestive of PCA analysis based on MHL=== | ===Relationship between samples in the propestive of PCA analysis based on MHL=== |
Revision as of 07:39, 13 July 2015
Materials and Method
Dr. Zhang update the MONOD methylation haplotype result and therefore I can check the latest result in the relationship between samples and check the distinguish ability of cancer and normals based on methylation haplotype load.
Result
Relationship between samples in the propestive of hierarchical clustering based on MHL
- WGBS.Phase2.Cluster.Revised.3.jpeg
Figure 1A. Hierarchical clustering based on WGBS revealed the relationships between hESC, N37 normals, Salk normals and cancers
- RRBS.PhaseI.Cluster.Revise.jpeg
Figure 1B. Hierarchical clustering based on RRBS revealed the relationships between Plasma, Nomal and Cancer tissues.
- SeqCap.Phase2.Cluster.Revised.jpeg
Figure 1C.Hierarchical clustering based on SeqCap revealed the relationships between Plasma, Nomal and Cancer tissues.