Prediction of the thromboembolic syndrome: an application of artificial neural networks in gene expression data analysis
Journal of Paramedical Sciences. 2016; 7 (2): 15-22
en Inglés
| IMEMR
| ID: emr-186138
ABSTRACT
The aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of gene expression data using artificial neural networks
Buscar en Google
Índice:
IMEMR (Mediterraneo Oriental)
Idioma:
Inglés
Revista:
J. Paramed. Sci.
Año:
2016
Similares
MEDLINE
...
LILACS
LIS