Authors: Tapia, Elizabeth; Bulacio, Pilar and Angelone, Laura.
Title: The Dependence of SVM-RFE Gene Selection on Microaray Data Noise: A simulation Study.
Resumen: A simulation approach to study the dependence of SVM-RFE gene selection on the signal-to-noise ratio of microarray datasetsis presented. It is revealed that SVM-RFE gene selection depends onboth the signal-to-noise ratio of microarray datasets and the policy ofgene elimination. Specifically, when SVM-RFE gene selection removes aconstant fraction of genes per step, smaller signal-to-noise ratios lead tothe selection of smaller sets of genes with smaller rates of false discoveries.Conversely, for the native SVM-RFE implementation removing one geneper step, larger sets of genes, characterized with higher rates of falsediscoveries, are selected. We conclude that one should be very carefulwith SVM-RFE gene selection conclusions on microarray data.
Meeting type: Congreso.
Type of job: Resumen.
Production: The Dependence of SVM-RFE Gene Selection on Microaray Data Noise: A simulation Study.
Scientific meeting: CLEI 2008.
Meeting place: Santa Fe - Argentina.
Organizing Institution: Centro Latinoamericano de Estudios en Informática.
It's published?: Yes
Publication place: EMBEnet_news_14.4
Meeting month: 12