An evolutionary clustering algorithm for gene expression microarray data analysis
暂无分享,去创建一个
[1] Nikhil R. Pal,et al. A novel approach to design classifiers using genetic programming , 2004, IEEE Transactions on Evolutionary Computation.
[2] Mark Schena,et al. DNA microarrays : a practical approach , 1999 .
[3] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[4] R. Tibshirani,et al. Gene expression profiling identifies clinically relevant subtypes of prostate cancer. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[5] Gerald Kowalski,et al. Information Retrieval Systems: Theory and Implementation , 1997 .
[6] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[7] M Gerstein,et al. DNA recognition code of transcription factors. , 1995, Protein engineering.
[8] Zbigniew Michalewicz,et al. Evolutionary Computation 2 : Advanced Algorithms and Operators , 2000 .
[9] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[10] 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.
[11] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[12] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[13] C. L. Liu,et al. Introduction to Combinatorial Mathematics. , 1971 .
[14] Kara Dolinski,et al. Saccharomyces Genome Database provides tools to survey gene expression and functional analysis data , 2001, Nucleic Acids Res..
[15] J. Collado-Vides,et al. Discovering regulatory elements in non-coding sequences by analysis of spaced dyads. , 2000, Nucleic acids research.
[16] P. Brown,et al. Yeast microarrays for genome wide parallel genetic and gene expression analysis. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[17] Keith C. C. Chan,et al. Discovering clusters in databases containing mixed continuous and discrete-valued attributes , 1999, Defense, Security, and Sensing.
[18] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[19] Andrew K. C. Wong,et al. Learning sequential patterns for probabilistic inductive prediction , 1994 .
[20] P. Brown,et al. Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.
[21] Andrew K. C. Wong,et al. Information synthesis based on hierarchical maximum entropy discretization , 1990, J. Exp. Theor. Artif. Intell..
[22] Zbigniew Michalewicz,et al. Handbook of Evolutionary Computation , 1997 .
[23] 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.
[24] James C. Bezdek,et al. Clustering with a genetically optimized approach , 1999, IEEE Trans. Evol. Comput..
[25] Chris H. Q. Ding,et al. Analysis of gene expression profiles: class discovery and leaf ordering , 2002, RECOMB '02.
[26] Alfonso Valencia,et al. A hierarchical unsupervised growing neural network for clustering gene expression patterns , 2001, Bioinform..
[27] Walter L. Smith. Probability and Statistics , 1959, Nature.
[28] Jiawei Han,et al. Cancer classification using gene expression data , 2003, Inf. Syst..
[29] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Elizabeth W. Jones,et al. Genetics: Analysis of Genes and Genomes , 2001 .
[31] David B. Fogel,et al. Evolution-ary Computation 1: Basic Algorithms and Operators , 2000 .
[32] K Matsubara,et al. Correlation between gene functions and developmental expression patterns in the mouse cerebellum , 2000, The European journal of neuroscience.
[33] G. Church,et al. Systematic determination of genetic network architecture , 1999, Nature Genetics.
[34] C. Ball,et al. Saccharomyces Genome Database. , 2002, Methods in enzymology.
[35] Yang Wang,et al. From Association to Classification: Inference Using Weight of Evidence , 2003, IEEE Trans. Knowl. Data Eng..
[36] Andrew K. C. Wong,et al. Statistical Technique for Extracting Classificatory Knowledge from Databases , 1991, Knowledge Discovery in Databases.
[37] Eleonora Kurtenbach,et al. Genomic expression pattern in Saccharomyces cerevisiae cells in response to high hydrostatic pressure , 2004, FEBS letters.
[38] Olli Nevalainen,et al. Genetic Algorithms for Large-Scale Clustering Problems , 1997, Comput. J..
[39] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[40] Francisco Herrera,et al. Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study , 2003, IEEE Trans. Evol. Comput..
[41] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[42] Wentian Li,et al. How Many Genes are Needed for a Discriminant Microarray Data Analysis , 2001, physics/0104029.
[43] G. Sherlock. Analysis of large-scale gene expression data. , 2000, Current opinion in immunology.
[44] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[45] J. Blow,et al. Cell cycle control of replication initiation in eukaryotes. , 1996, Current opinion in cell biology.
[46] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .
[47] Richard M. Karp,et al. CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts , 2001, ISMB.
[48] M. Xiong,et al. Biomarker Identification by Feature Wrappers , 2022 .
[49] Weimin Xiao,et al. Evolving accurate and compact classification rules with gene expression programming , 2003, IEEE Trans. Evol. Comput..
[50] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[51] Keith C. C. Chan,et al. Mining fuzzy association rules , 1997, CIKM '97.
[52] J. Collado-Vides,et al. Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies. , 1998, Journal of molecular biology.
[53] Jiashun Zheng,et al. An approach to identify over-represented cis-elements in related sequences. , 2003, Nucleic acids research.
[54] P. Brazhnik,et al. Linking the genes: inferring quantitative gene networks from microarray data. , 2002, Trends in genetics : TIG.
[55] Xin Yao,et al. A novel evolutionary data mining algorithm with applications to churn prediction , 2003, IEEE Trans. Evol. Comput..
[56] Emanuel Falkenauer,et al. Genetic Algorithms and Grouping Problems , 1998 .
[57] Werner Dubitzky,et al. A Practical Approach to Microarray Data Analysis , 2003, Springer US.
[58] M. Bittner,et al. Expression profiling using cDNA microarrays , 1999, Nature Genetics.
[59] Ronald W. Davis,et al. Transcriptional regulation and function during the human cell cycle , 2001, Nature Genetics.
[60] C. A. Murthy,et al. In search of optimal clusters using genetic algorithms , 1996, Pattern Recognit. Lett..
[61] Walter L. Ruzzo,et al. Improved Gene Selection for Classification of Microarrays , 2002, Pacific Symposium on Biocomputing.
[62] Ron Shamir,et al. Clustering Gene Expression Patterns , 1999, J. Comput. Biol..
[63] Ujjwal Maulik,et al. Genetic algorithm-based clustering technique , 2000, Pattern Recognit..
[64] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[65] Graham Cameron,et al. One-stop shop for microarray data , 2000, Nature.
[66] Vladimir Pavlovic,et al. RankGene: identification of diagnostic genes based on expression data , 2003, Bioinform..
[67] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[68] R. Wallace. Is this a practical approach? , 2001, Journal of the American College of Surgeons.
[69] Chinatsu Aone,et al. Fast and effective text mining using linear-time document clustering , 1999, KDD '99.
[70] M. Narasimha Murty,et al. Genetic K-means algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[71] E. Winzeler,et al. Genomics, gene expression and DNA arrays , 2000, Nature.
[72] Ronald W. Davis,et al. A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.
[73] B. Young,et al. Molecular biology in medicine. , 1992, Postgraduate medical journal.
[74] Partha S. Vasisht. Computational Analysis of Microarray Data , 2003 .
[75] M. Narasimha Murty,et al. Clustering with evolution strategies , 1994, Pattern Recognit..
[76] Alex Alves Freitas,et al. Data mining with an ant colony optimization algorithm , 2002, IEEE Trans. Evol. Comput..