IMPLEMENTACIÓN DE TÉCNICAS DE RECONOCIMIENTO DE PATRONES (LEAST SQUARE SUPPORT VECTOR MACHINES) EN PROCESOS DE SELECCIÓN DE PARÁMETROS CARACTERÍSTICOS APLICADOS A SISTEMAS METABOLÓMICOS
Palabras clave:
Metabolómica, HNMR, LS-SVM, COWResumen
En este artículo se presenta una metodologíaque involucra, técnicas de análisis multivariable y una etapa de pre-procesamiento con el fin de determinar metabolitos característicos en un determinado espectro. Este método novedoso permitió determinar
que ciertos metabolitos son modificados por las diferentes concentraciones y además de conocer la funcionalidad de LS-SVM en datos NMR. También se logró validar procesos como: alineamiento de picos, normalización, corrección de línea base y análisis
multienergía, en datos metabolómicos en aceites de oliva y avellana puros y mezclados con alteraciones de 2%, 5%, 10%, 20% y 30%.
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