A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data
Tài liệu tham khảo
Fan, 2009, A sequential feature extraction approach for Naïve Bayes classification of microarray data, Expert Syst. Appl., 36, 9919, 10.1016/j.eswa.2009.01.075
Vilda, 2006, Robust preprocessing of gene expression microarrays for independent component analysis, 714
Zheng, 2006, Feature selection in independent component subspace for microarray data classification, Neurocomputing, 69, 2407, 10.1016/j.neucom.2006.02.006
Peng, 2006, A novel ensemble machine learning for robust microarray data classification, Comput. Biol. Med., 36, 553, 10.1016/j.compbiomed.2005.04.001
Hammer, 2003, Mathematical aspects of neural networks, 59
Du, 2014, A novel forward gene selection algorithm for microarray data, Neurocomputing, 133, 446, 10.1016/j.neucom.2013.12.012
Gutkin, 2008
Tang, 2005, Feature selection for microarray data using least squares svm and particle swarm optimization, 1
Bartenhagen, 2010, Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data, BMC Bioinf., 11, 567, 10.1186/1471-2105-11-567
Frigyesi, 2006, Independent component analysis reveals new and biologically significant structures in micro array data, BMC Bioinf., 7, 290, 10.1186/1471-2105-7-290
Zheng, 2008, Gene expression data classification using consensus independent component analysis, Genomics Proteomics Bioinformatics, 6, 74, 10.1016/S1672-0229(08)60022-4
Mohan, 2014, Automatic classification of protein structures using physicochemical parameters, Interdiscip. Sci.: Comput. Life Sci., 6, 176, 10.1007/s12539-013-0199-0
Fan, 2010, Partition-conditional ICA for Bayesian classification of microarray data, Expert Syst. Appl., 37, 8188, 10.1016/j.eswa.2010.05.068
Patil, 2013, Performance analysis of Naive Bayes and J48 classification algorithm for data classification, Int. J. Comput. Sci. Appl., 6, 256
Zhang, 2005, Exploring conditions for the optimality of naive Bayes, Int. J. Pattern Recognit. Artif. Intell., 19, 183, 10.1142/S0218001405003983
Statnikov, 2013, A comprehensive evaluation of multicategory classification methods for microbiomic data, Microbiome, 1, 11, 10.1186/2049-2618-1-11
Chakraborty, 2011, A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data, Comput. Stat. Data Anal., 55, 1342, 10.1016/j.csda.2010.09.024
Hyvärinen, 1997, A fast fixed-point algorithm for independent component analysis, Neural Comput., 9, 1483, 10.1162/neco.1997.9.7.1483
Naik, 2011, An overview of independent component analysis and its applications, Informatica, 35, 63
Engreitz, 2010, Independent component analysis: mining microarray data for fundamental human gene expression modules, J. Biomed. Inform., 43, 932, 10.1016/j.jbi.2010.07.001
Kong, 2008, A review of independent component analysis application to microarray gene expression data, Biotechniques, 45, 501, 10.2144/000112950
Hyvärinen, 2004
Capobianco, 2004
Luukka, 2011, Feature selection using fuzzy entropy measures with similarity classifier, Expert Syst. Appl., 38, 4600, 10.1016/j.eswa.2010.09.133
Parkash, 2010, Applications of trigonometric measures of fuzzy entropy to geometry, Int. J. Math. Comput. Sci., 6, 76
Cesar, 2012
Lee, 2001, An efficient fuzzy classifier with feature selection based on fuzzy entropy, IEEE Trans. Syst. Man Cybern. B Cybern., 31, 426, 10.1109/3477.931536
Pochet, 2004, Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction, Bioinformatics, 20, 3185, 10.1093/bioinformatics/bth383
Cortes, 1995, Support-vector networks, Mach. Learn., 20, 273, 10.1007/BF00994018
Vapnik, 1998
Mukherjee, 1999, 170
Boser, 1992, A training algorithm for optimal margin classifiers, 144
Jan, 1996
Kostka, 2008, Feature extraction based on time-frequency and independent component analysis for improvement of separation ability in atrial fibrillation detector, 2960
Hsu, 2010, Integrating independent component analysis and support vector machine for multivariate process monitoring, Comput. Ind. Eng., 59, 145, 10.1016/j.cie.2010.03.011
DURGESH, 2010, Data classification using support vector machine, J.Theor. Appl. Inf. Technol., 12, 1
Huang, 2007, ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data, Biosystems, 90, 516, 10.1016/j.biosystems.2006.12.003
Langley, 1992, An analysis of Bayesian classifiers, 223
Friedman, 1997, Bayesian network classifiers, Mach. Learn., 29, 131, 10.1023/A:1007465528199
John, 1995, Estimating continuous distributions in Bayesian classifiers, 338
Chen, 2009, Feature selection for text classification with Naïve Bayes, Expert Syst. Appl., 36, 5432, 10.1016/j.eswa.2008.06.054
Sandberg, 2001, Capturing whole-genome characteristics in short sequences using a naive Bayesian classifier, Genome Res., 11, 1404, 10.1101/gr.186401
De Campos, 2011, Bayesian networks classifiers for gene-expression data, 1200
Ji, 2002, A Bayesian classification method for treatments using microarray gene expression data
Alon, 1999, Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays, Proc. Natl. Acad. Sci., 96, 6745, 10.1073/pnas.96.12.6745
Golub, 1999, Molecular classification of cancer: class discovery and class prediction by gene expression monitoring, Science, 286, 531, 10.1126/science.286.5439.531
Singh, 2002, Gene expression correlates of clinical prostate cancer behavior, Cancer Cell, 1, 203, 10.1016/S1535-6108(02)00030-2
Gordon, 2002, Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma, Cancer Res., 62, 4963
Nutt, 2003, Gene expression-based classification of malignant gliomas correlates better with survival than histological classification, Cancer Res., 63, 1602
Hira, 2015
Nahar, 2007, Microarray data classification using automatic SVM kernel selection, DNA Cell Biol., 26, 707, 10.1089/dna.2007.0590
Aziz, 2015, t-Independent component analysis for SVM classification of DNA — microarray data, Int. J. Bioinforma. Res., 6, 305
http://research.ics.aalto.fi/ica/fastica/code/dlcode.shtml.
http://in.mathworks.com/matlabcentral/fileexchange/31366-feature-selection-using-fuzzyentropy-measures-and-similarity.