Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data.

Shu-Guang Ge,Junfeng Xia,Wen Sha,Chun-Hou Zheng

IEEE/ACM Transactions on Computational Biology and Bioinformatics（2017）

引用 34|浏览39

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摘要

One major goal of large-scale cancer omics study is to understand molecular mechanisms of cancer and find new biomedical targets. To deal with the high-dimensional multidimensional cancer omics data (DNA methylation, mRNA expression, etc.), which can be used to discover new insight on identifying cancer subtypes, clustering methods are usually used to find an effective low-dimensional subspace of ...

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关键词

Cancer,Genomics,Bioinformatics,Clustering methods,DNA,Clustering algorithms

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