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Identification of miRNAs Expression Profile in Gastric Cancer Using Self-Organizing Maps (SOM)
In this paper, an unsupervised artificial neural network was implemented to identify the patters of specific signatures. The network was based on the differential expression of miRNAs (under or over expression) found in healthy or cancerous gastric tissues. Among the tissues analyzes, the neural net...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070031/ https://www.ncbi.nlm.nih.gov/pubmed/24966529 http://dx.doi.org/10.6026/97320630010246 |