Tri-Clustering Analysis for Dissecting Epigenetic Patterns Across Multiple Cancer Types
Tumor cells not only harbor genetic and epigenetic alterations, but also are regulated by various epigenetic modifications. Identification of tumor epigenetic similarities across different cancer types is useful for the discovery of treatments that can be extended to different cancers. Nowadays, abundant epigenetic modification profiles have provided good opportunity to achieve this goal. Here, we proposed a tri-clustering approach for integrative pan-cancer epigenomic analysis, named TriPCE. We applied TriPCE to uncover epigenetic mode among seven cancer types. This approach can identify significant cross-cancer epigenetic modification similarities. The associated gene analysis demonstrates strong relevance with cancer development and reveals consistent tendency among cancer types.
KeywordsTri-clustering Epigenetic pattern Pan-cancer
This work was supported in part by the Fundamental Research Funds for the Central Universities (2232016A3-05), the National Natural Science Foundation of China (61772128), and Shanghai Natural Science Foundation (17ZR1400200).
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