Establishing reliable miRNA-cancer association network based on text-mining method.
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
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MicroRNAs
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Mineração de Dados
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Neoplasias
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article