Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data.

Wang, Juan; Lu, Cong-Hai; Kong, Xiang-Zhen; Dai, Ling-Yun; Yuan, Shasha; Zhang, Xiaofeng

Wang, Juan; Lu, Cong-Hai; Kong, Xiang-Zhen; Dai, Ling-Yun; Yuan, Shasha; Zhang, Xiaofeng.

Afiliação

Wang J; School of Computer Science, Qufu Normal University, Rizhao, 276826, China. wangjuansdu@163.com.
Lu CH; School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Kong XZ; School of Computer Science, Qufu Normal University, Rizhao, 276826, China. kongxzhen@163.com.
Dai LY; School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Yuan S; School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Zhang X; School of Information and Electrical Engineering, Ludong University, Yantai, 264025, China.

BMC Bioinformatics ; 22(Suppl 12): 334, 2022 Jan 20.

Article em En | MEDLINE | ID: mdl-35057729

Assuntos

Algoritmos; Neoplasias; Análise por Conglomerados; Biologia Computacional; Humanos; Neoplasias/genética; Reprodutibilidade dos Testes

Palavras-chave

Cancer multi-omics Data; Concept factorization; Low-rank subspace clustering; Manifold regularization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Neoplasias Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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