Prediction of colon cancer using an evolutionary neural network
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[1] Nello Cristianini,et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data , 2000, Bioinform..
[2] D A Rew,et al. DNA microarray technology in cancer research. , 2001, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[3] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[4] Thomas A. Darden,et al. Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method , 2001, Bioinform..
[5] Xin Yao,et al. A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.
[6] Seung-Ik Lee,et al. Exploiting diversity of neural ensembles with speciated evolution , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[7] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[8] Hiroaki Kitano,et al. Designing Neural Networks Using Genetic Algorithms with Graph Generation System , 1990, Complex Syst..
[9] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[10] P. Brown,et al. Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.
[11] Yi Li,et al. Bayesian automatic relevance determination algorithms for classifying gene expression data. , 2002, Bioinformatics.
[12] J Carl Barrett,et al. Microarrays: the use of oligonucleotides and cDNA for the analysis of gene expression. , 2003, Drug discovery today.
[13] U. Alon,et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[14] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[15] Nir Friedman,et al. Tissue classification with gene expression profiles. , 2000 .
[16] M. Conrad,et al. Computation: evolutionary, neural, molecular , 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.
[17] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[18] Dustin Boswell,et al. Introduction to Support Vector Machines , 2002 .
[19] Sung-Bae Cho,et al. Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition , 1997, Neural Computation.
[20] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[21] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[22] David Corne,et al. Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[23] G. Getz,et al. Coupled two-way clustering analysis of gene microarray data. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[24] D. Kerr,et al. Gene therapy strategies for colon cancer. , 2000, Molecular medicine today.
[25] Dunja Mladenic,et al. Feature selection on hierarchy of web documents , 2003, Decis. Support Syst..
[26] Danh V. Nguyen,et al. Tumor classification by partial least squares using microarray gene expression data , 2002, Bioinform..
[27] H. Frierson,et al. Classifying human cancer by analysis of gene expression. , 2003, Trends in molecular medicine.
[28] Ivo Grosse,et al. Gene selection criterion for discriminant microarray data analysis based on extreme value distributions , 2003, RECOMB '03.
[29] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[30] Joon-Hyun Ahn,et al. Speciated neural networks evolved with fitness sharing technique , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[31] S. P. Fodor,et al. High density synthetic oligonucleotide arrays , 1999, Nature Genetics.
[32] David B. Fogel,et al. Verifying Anaconda's expert rating by competing against Chinook: experiments in co-evolving a neural checkers player , 2002, Neurocomputing.
[33] E. Boerwinkle,et al. Feature (gene) selection in gene expression-based tumor classification. , 2001, Molecular genetics and metabolism.
[34] Lawrence Davis,et al. Training Feedforward Neural Networks Using Genetic Algorithms , 1989, IJCAI.
[35] C. Rosenow,et al. Monitoring gene expression using DNA microarrays. , 2000, Current opinion in microbiology.
[36] N. Friedman,et al. Tissue Classi cation with Gene Expression Pro les , 2004 .
[37] Roded Sharan,et al. Algorithmic approaches to clustering gene expression data , 2001 .
[38] Momiao Xiong,et al. Tclass: tumor classification system based on gene expression profile , 2002, Bioinform..
[39] Indra Neil Sarkar,et al. Characteristic attributes in cancer microarrays , 2002, Journal of Biomedical Informatics.
[40] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[41] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[42] WestonJason,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002 .