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Article

Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering

School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
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Academic Editor: Martin Vingron
Genes 2021, 12(4), 526; https://doi.org/10.3390/genes12040526
Received: 3 February 2021 / Revised: 28 March 2021 / Accepted: 31 March 2021 / Published: 3 April 2021
(This article belongs to the Section Molecular Genetics and Genomics)
Integrating multigenomic data to recognize cancer subtype is an important task in bioinformatics. In recent years, some multiview clustering algorithms have been proposed and applied to identify cancer subtype. However, these clustering algorithms ignore that each data contributes differently to the clustering results during the fusion process, and they require additional clustering steps to generate the final labels. In this paper, a new one-step method for cancer subtype recognition based on graph learning framework is designed, called Laplacian Rank Constrained Multiview Clustering (LRCMC). LRCMC first forms a graph for a single biological data to reveal the relationship between data points and uses affinity matrix to encode the graph structure. Then, it adds weights to measure the contribution of each graph and finally merges these individual graphs into a consensus graph. In addition, LRCMC constructs the adaptive neighbors to adjust the similarity of sample points, and it uses the rank constraint on the Laplacian matrix to ensure that each graph structure has the same connected components. Experiments on several benchmark datasets and The Cancer Genome Atlas (TCGA) datasets have demonstrated the effectiveness of the proposed algorithm comparing to the state-of-the-art methods. View Full-Text
Keywords: cancer subtype recognition; Laplacian Rank Constrained; multiview clustering; graph learning cancer subtype recognition; Laplacian Rank Constrained; multiview clustering; graph learning
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MDPI and ACS Style

Ge, S.; Wang, X.; Cheng, Y.; Liu, J. Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering. Genes 2021, 12, 526. https://doi.org/10.3390/genes12040526

AMA Style

Ge S, Wang X, Cheng Y, Liu J. Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering. Genes. 2021; 12(4):526. https://doi.org/10.3390/genes12040526

Chicago/Turabian Style

Ge, Shuguang, Xuesong Wang, Yuhu Cheng, and Jian Liu. 2021. "Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering" Genes 12, no. 4: 526. https://doi.org/10.3390/genes12040526

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