A new regularized least squares support vector regression for gene selection

[1] Golub TR(1999)Molecular classification of cancer: class discovery and class prediction by gene expression monitoring Science 286 531-537

[2] Slonim DK(2000)Knowledge-based analysis of microarray gene expression data by using support vector machines Proc Natl Acad Sci U S A 97 262-267

[3] Tamayo P(2002)Tumor classification by partial least squares using microarray gene expression data Bioinformatics 18 39-50

[4] Huard C(2002)Comparison of discrimination methods for the classification of tumors using gene expression data Journal of the American Statistical Association 97 77-87

[5] Gaasenbeek M(2005)An entropy-based gene selection method for cancer classification using microarray data BMC Bioinformatics 6 76-2517

[6] Mesirov JP(2006)A stable gene selection in microarray data analysis BMC Bioinformatics 7 228-292

[7] Coller H(2007)A review of feature selection techniques in bioinformatics Bioinformatics 23 2507-2404

[8] Loh ML(1996)Toward optimal feature selection Proceedings of the Thirteenth International Conference on Machine Learning 96 284-1224

[9] Downing JR(2006)Selecting features in microarray classification using ROC curves Pattern Recognition 39 2393-1243

[10] Caligiuri MA(2004)Efficient feature selection via analysis of relevance and redundancy Journal of Machine Learning Research 5 1205-422

[1] Golub TR(1999)Molecular classification of cancer: class discovery and class prediction by gene expression monitoring Science 286 531-537

[2] Slonim DK(2000)Knowledge-based analysis of microarray gene expression data by using support vector machines Proc Natl Acad Sci U S A 97 262-267

[3] Tamayo P(2002)Tumor classification by partial least squares using microarray gene expression data Bioinformatics 18 39-50

[4] Huard C(2002)Comparison of discrimination methods for the classification of tumors using gene expression data Journal of the American Statistical Association 97 77-87

[5] Gaasenbeek M(2005)An entropy-based gene selection method for cancer classification using microarray data BMC Bioinformatics 6 76-2517

[6] Mesirov JP(2006)A stable gene selection in microarray data analysis BMC Bioinformatics 7 228-292

[7] Coller H(2007)A review of feature selection techniques in bioinformatics Bioinformatics 23 2507-2404

[8] Loh ML(1996)Toward optimal feature selection Proceedings of the Thirteenth International Conference on Machine Learning 96 284-1224

[9] Downing JR(2006)Selecting features in microarray classification using ROC curves Pattern Recognition 39 2393-1243

[10] Caligiuri MA(2004)Efficient feature selection via analysis of relevance and redundancy Journal of Machine Learning Research 5 1205-422