We present an experimental application of the ERFE-SVM machine learning system for the molecular profiling of cardiogenomics data. The predictive methodology is applied to obtain the automatic ranking and selection of a panel of genes for a Mouse Model dataset of DNA expressions provided by the genomics of Cardiovascular Development, Adaptation, and Remodeling, NHLBI Program for Genomic applications

Methods for predictive classification and molecular profiling from DNA microarray data

Jurman, Giuseppe
2004-01-01

Abstract

We present an experimental application of the ERFE-SVM machine learning system for the molecular profiling of cardiogenomics data. The predictive methodology is applied to obtain the automatic ranking and selection of a panel of genes for a Mouse Model dataset of DNA expressions provided by the genomics of Cardiovascular Development, Adaptation, and Remodeling, NHLBI Program for Genomic applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/97511
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