Title: SVM-RFE: selection and visualization of the most relevant features through non-linear kernels Subject: BMC Bioinformatics, 2018, doi:10.1186/s12859-018-2451-4 Keywords: Support vector machines,Relevant variables,Recursive feature elimination,Kernel methods Author: Hector Sanz Creator: Arbortext Advanced Print Publisher 9.1.440/W Unicode Producer: Acrobat Distiller 10.1.5 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (AGPL-version) CreationDate: 11/16/18 14:17:20 ModDate: 11/19/18 15:38:13 Tagged: no Form: none Pages: 18 Encrypted: no Page size: 595.276 x 790.866 pts (rotated 0 degrees) File size: 2917177 bytes Optimized: no PDF version: 1.4