A novel divide-and-merge classification for high dimensional datasets
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Sejong Oh | Minseok Seo | Sejong Oh | M. Seo
[1] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[2] R. Spang,et al. Predicting the clinical status of human breast cancer by using gene expression profiles , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[3] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[4] Gang Liu,et al. Effects of cigarette smoke on the human airway epithelial cell transcriptome. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[5] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[6] Kezhi Mao,et al. Feature subset selection for support vector machines through discriminative function pruning analysis , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[7] U. Alon,et al. Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays. , 2001, Cancer research.
[8] Chris H. Q. Ding,et al. Minimum redundancy feature selection from microarray gene expression data , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.
[9] T. Golub,et al. Gene expression-based chemical genomics identifies rapamycin as a modulator of MCL1 and glucocorticoid resistance. , 2006, Cancer cell.
[10] Sohail Asghar,et al. A REVIEW OF FEATURE SELECTION TECHNIQUES IN STRUCTURE LEARNING , 2013 .
[11] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[12] Yoshua Bengio,et al. No Unbiased Estimator of the Variance of K-Fold Cross-Validation , 2003, J. Mach. Learn. Res..
[13] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[14] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[15] Adam C. Winstanley,et al. Invariant optimal feature selection: A distance discriminant and feature ranking based solution , 2008, Pattern Recognit..
[16] Krzysztof Michalak,et al. Correlation-based Feature Selection Strategy in Neural Classification , 2006, Sixth International Conference on Intelligent Systems Design and Applications.
[17] Riyaz Sikora,et al. Framework for efficient feature selection in genetic algorithm based data mining , 2007, Eur. J. Oper. Res..
[18] Thomas G. Dietterich,et al. Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs , 1991, AAAI.
[19] Aravind Subramanian,et al. A zebrafish bmyb mutation causes genome instability and increased cancer susceptibility. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[20] Qingzhong Liu,et al. Comparison of feature selection and classification for MALDI-MS data , 2009, BMC Genomics.
[21] Marko Robnik-Sikonja,et al. Theoretical and Empirical Analysis of ReliefF and RReliefF , 2003, Machine Learning.
[22] J. Mesirov,et al. Metagene projection for cross-platform, cross-species characterization of global transcriptional states , 2007, Proceedings of the National Academy of Sciences.
[23] Richard Weber,et al. Simultaneous feature selection and classification using kernel-penalized support vector machines , 2011, Inf. Sci..
[24] Sungzoon Cho,et al. Ensemble based on GA wrapper feature selection , 2006, Comput. Ind. Eng..
[25] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[26] Todd,et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning , 2002, Nature Medicine.
[27] Cheng-Lung Huang,et al. A GA-based feature selection and parameters optimizationfor support vector machines , 2006, Expert Syst. Appl..
[28] Sejong Oh. A new dataset evaluation method based on category overlap , 2011, Comput. Biol. Medicine.
[29] David E. Misek,et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma , 2002, Nature Medicine.
[30] Yujin Hoshida,et al. Nearest Template Prediction: A Single-Sample-Based Flexible Class Prediction with Confidence Assessment , 2010, PloS one.
[31] Sejong Oh,et al. Derivation of an artificial gene to improve classification accuracy upon gene selection , 2012, Comput. Biol. Chem..
[32] Emmanuel Dellandréa,et al. Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS , 2009, ACIVS.
[33] Jill P. Mesirov,et al. Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets , 2007, PloS one.
[34] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.