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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gomes, Larissa Luz, Moreira, Fabiano Cordeiro, Hamoy, Igor Guerreiro, Santos, Sidney, Assumpção, Paulo, Santana, Ádamo L., Ribeiro-dos-Santos, Ândrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Hypothesis
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070031/
https://www.ncbi.nlm.nih.gov/pubmed/24966529
http://dx.doi.org/10.6026/97320630010246

Ejemplares similares