WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics（2021）

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摘要

The identification of cancer subtypes is of great importance for understanding the heterogeneity of tumors and providing patients with more accurate diagnoses and treatments. However, it is still a challenge to effectively integrate multiple omics data to establish cancer subtypes. In this paper, we propose an unsupervised integration method, named weighted multi-view low rank representation (WMLR...

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关键词

Cancer,Data models,Clustering algorithms,Sparse matrices,Genomics,Data mining,Clustering methods

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