Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection
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Juan Humberto Sossa Azuela | Gildardo Sánchez-Ante | Luis Falcón-Morales | Roberto Vega | Ricardo Ocampo-Vega | Marco A. de Luna
[1] Driss Aboutajdine,et al. A two-stage gene selection scheme utilizing MRMR filter and GA wrapper , 2011, Knowledge and Information Systems.
[2] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[3] Igor V. Tetko,et al. Gene selection from microarray data for cancer classification - a machine learning approach , 2005, Comput. Biol. Chem..
[4] Mario Marchand,et al. Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[6] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[7] René Natowicz,et al. Optimization for feature selection in DNA microarrays , 2013 .
[8] Jing Zhao,et al. A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection , 2009, Genom. Proteom. Bioinform..
[9] Todd,et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning , 2002, Nature Medicine.
[10] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[11] Sung-Bae Cho,et al. Towards Optimal Feature and Classifier for Gene Expression Classification of Cancer , 2002, AFSS.
[12] Michio Sugeno,et al. Advances in Soft Computing — AFSS 2002 , 2002, Lecture Notes in Computer Science.
[13] J. Hair. Multivariate data analysis , 1972 .
[14] Christopher Bishop,et al. Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics , 2003 .
[15] Sang-Hong Lee,et al. A composite gene selection for DNA microarray data analysis , 2013, Multimedia Tools and Applications.
[16] Feng Chu,et al. Applications of support vector machines to cancer classification with microarray data , 2005, Int. J. Neural Syst..
[17] Juan Humberto Sossa Azuela,et al. Efficient training for dendrite morphological neural networks , 2014, Neurocomputing.
[18] Dong-Ling Tong,et al. Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data , 2011, Artif. Intell. Medicine.
[19] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[20] Constantin F. Aliferis,et al. Towards Principled Feature Selection: Relevancy, Filters and Wrappers , 2003 .
[21] M. Ringnér,et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks , 2001, Nature Medicine.
[22] Huan Liu,et al. A Probabilistic Approach to Feature Selection - A Filter Solution , 1996, ICML.
[23] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[24] Patrick Siarry. Heuristics: Theory and Applications , 2013 .
[25] Qinyu. Zhu. Extreme Learning Machine , 2013 .
[26] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[27] Jesús S. Aguilar-Ruiz,et al. Incremental wrapper-based gene selection from microarray data for cancer classification , 2006, Pattern Recognit..
[28] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[29] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[30] Rolph E. Anderson,et al. Multivariate Data Analysis (7th ed. , 2009 .