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Establishing reliable miRNA-cancer association network based on text-mining method.
Li, Lun; Hu, Xingchi; Yang, Zhaowan; Jia, Zhenyu; Fang, Ming; Zhang, Libin; Zhou, Yanhong.
Afiliação
  • Li L; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Hu X; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Yang Z; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Jia Z; Department of Statistics, The University of Akron, Akron, OH 44325, USA ; Department of Family & Community Medicine, Northeast Ohio Medical University, Rootstown, OH 44272, USA ; Guizhou Provincial Key Laboratory of Computational Nano-Material Science, Guizhou Normal College, Guiyang 550018, Chi
  • Fang M; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Zhang L; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Zhou Y; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China ; Biomedical Engineering Department, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Comput Math Methods Med ; 2014: 746979, 2014.
Article em En | MEDLINE | ID: mdl-24895499
ABSTRACT
Associating microRNAs (miRNAs) with cancers is an important step of understanding the mechanisms of cancer pathogenesis and finding novel biomarkers for cancer therapies. In this study, we constructed a miRNA-cancer association network (miCancerna) based on more than 1,000 miRNA-cancer associations detected from millions of abstracts with the text-mining method, including 226 miRNA families and 20 common cancers. We further prioritized cancer-related miRNAs at the network level with the random-walk algorithm, achieving a relatively higher performance than previous miRNA disease networks. Finally, we examined the top 5 candidate miRNAs for each kind of cancer and found that 71% of them are confirmed experimentally. miCancerna would be an alternative resource for the cancer-related miRNA identification.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / MicroRNAs / Mineração de Dados / Neoplasias Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / MicroRNAs / Mineração de Dados / Neoplasias Idioma: En Ano de publicação: 2014 Tipo de documento: Article