Yupei Cai
ABSTRACT
Nowadays, omics techniques have been widely used to study cancer and other related problems, but there are many cancer subtypes in a certain type of cancer which are unclear or even completely unknown, and thus unsupervised learning are only suitable approaches to address the problem. Cluster analysis refers to the analysis process of grouping data into multiple classes composed of similar data points. In this paper, six omics datasets are used to compare three clustering methods, in order to find a more suitable clustering method for omics datasets.
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Index Terms
- Comparison of different clustering methods applied to omics datasets
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