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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: IEEE J Biomed Health Inform. 2017 Dec 18;22(6):1960–1969. doi: 10.1109/JBHI.2017.2784621

Fig. 1.

Fig. 1.

The flowchart of the proposed method. Given DNA methylation and gene expression profiles from multiple cancers, we first apply JSCCA to identify a set of methylation that affect a group of genes. These genes are classified into shared and group-specific ones. With this classification, we perform joint sparse precision matrix estimation to further identify driver methylation-gene pairs with significant partial correlations. The dash lines correspond to co-expressions or co-methylations.