INVESTIGADORES
FERNANDEZ Elmer Andres
congresos y reuniones científicas
Título:
Facing Affymetrix chips analysis through the Data Mining Framework: An application in Parkinson's gene expression experiment
Autor/es:
GONZALEZ, GERMÁN; LARRAMEDNY, CELIA; GERSHANIK, OSCAR; FERNÁNDEZ, ELMER ANDRÉS
Lugar:
Quilmes, Argentina
Reunión:
Congreso; Congreso de Bioinformatica y Biologia Computacional, Quilmes Mayo 12-14,2010; 2010
Institución organizadora:
Sociedad Argentina de Bioinformatica y Biologia Computacional
Resumen:
The Knowledge Discovery in Databases process provides a suitable framework for data analysis in biology. Nowadays, High-throughput genomic technologies, such as microarrays, generate a massive amount of data with complex structure which requires the use of appropriate methods and tools to find relevant biological knowledge from them. Here we show the use of the Unified Analytical Process (UAP) for Data Mining (DM) to analyze a microarray experiment conducted to compare the gene effects of two known antiparkinsonian drugs L-Dopa and Pramipexole (PRA).
