Análisis del proceso de minería de datos sobre la base de datos Bioinformática de segmentos de la proteína p53, asociada a la actividad cancerígena

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Autores

Alejandro Hadad
Franco Simonetti

Abstract

Se estudió la utilización de estrategias para afrontar el problema del desbalanceo y la alta dimensionalidad de los registros que habitualmente forman parte de las bases de datos en el área bioinformática. Se tomó como caso de estudio la base de datos de segmentos de la proteína p53, sobre dicha base se construyen modelos con el fin de identificar si corresponden a patrones activos o inactivos. El problema del desbalanceo se abordó a través de una red neuronal no supervisada, y el de la selección de variables para reducir la alta dimensionalidad, a partir de una combinación de métodos con diferentes enfoques. Experimentos preliminares del modelo propuesto en datos estándar muestran resultados promisorios.

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