Model

Diagnostic Model

Diagnostic model will give a ranking of importance for every CpGs and plot ROC curve and clustering map for distinguishing tumor samples from normal samples, please see citation [1] for detail methods.

Input type:

Paste/type CpGs/Genes here:



Select dataset:


         
Prognostic Model

Prognostic model will give prognistic pvalue for every CpGs and plot KM curve, please see citation [1] for detail methods.

Input type:

Paste/type CpGs/Genes here:



Select dataset:


         

Website Compatibility: Google Chrome is recommended
Citation: [1] Ding, Wubin, Geng Chen, and Tieliu Shi. "Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis." Epigenetics 14.1 (2019): 67-80.[ Full Text ]

Citation: [2] Wubin Ding, Jiwei Chen, Guoshuang Feng, Geng Chen, Jun Wu, Yongli Guo, Xin Ni, Tieliu Shi, DNMIVD: DNA methylation interactive visualization database, Nucleic Acids Research, 48(D1), D856-D862.[ Full Text ]

Citation: [3] Ding, W., Feng, G., Hu, Y., Chen, G., & Shi, T. (2020). Co-occurrence and mutual exclusivity analysis of DNA methylation reveals distinct subtypes in multiple cancers. Frontiers in cell and developmental biology, 8, 20.[ Full Text ]