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MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information.
Dai, Qiuying; Chu, Yanyi; Li, Zhiqi; Zhao, Yusong; Mao, Xueying; Wang, Yanjing; Xiong, Yi; Wei, Dong-Qing.
Afiliación
  • Dai Q; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Chu Y; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Li Z; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Zhao Y; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Mao X; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Wang Y; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Xiong Y; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: xiongyi@sjtu.edu.cn.
  • Wei DQ; State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen, Guangdong, 518055, China. Electronic address: dqwei@sj
Comput Biol Med ; 136: 104706, 2021 09.
Article en En | MEDLINE | ID: mdl-34371319
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos