A new measure for gene expression biclustering based on non-parametric correlation
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Pedro Larrañaga | Iñaki Inza | Borja Calvo | Jose Luis Flores | J. L. Flores | Iñaki Inza | P. Larrañaga | Borja Calvo
[1] Hong Yan,et al. A graph spectrum based geometric biclustering algorithm. , 2013, Journal of theoretical biology.
[2] Sanghyun Park,et al. Noise-robust algorithm for identifying functionally associated biclusters from gene expression data , 2011, Inf. Sci..
[3] Juan A. Nepomuceno,et al. Biclustering of Gene Expression Data by Correlation-Based Scatter Search , 2011, BioData Mining.
[4] Martin Pelikan,et al. Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms , 2010, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[5] Jin-Kao Hao,et al. Iterated Local Search for Biclustering of Microarray Data , 2010, PRIB.
[6] Ulrich Bodenhofer,et al. FABIA: factor analysis for bicluster acquisition , 2010, Bioinform..
[7] Catherine Dehon,et al. Influence functions of the Spearman and Kendall correlation measures , 2010, Stat. Methods Appl..
[8] Jin-Kao Hao,et al. A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data , 2009, BioData Mining.
[9] Anindya Bhattacharya,et al. Bi-correlation clustering algorithm for determining a set of co-regulated genes , 2009, Bioinform..
[10] Jessica Andrea Carballido,et al. BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering , 2009, BSB.
[11] Ying Xu,et al. QUBIC: a qualitative biclustering algorithm for analyses of gene expression data , 2009, Nucleic acids research.
[12] Yasser M. Kadah,et al. An automatic gene ontology software tool for bicluster and cluster comparisons , 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
[13] Jing Xiao,et al. An Efficient Voting Algorithm for Finding Additive Biclusters with Random Background , 2008, J. Comput. Biol..
[14] Lodewyk F. A. Wessels,et al. Biclustering Sparse Binary Genomic Data , 2008, J. Comput. Biol..
[15] Concha Bielza,et al. A review of estimation of distribution algorithms in bioinformatics , 2008, BioData Mining.
[16] Hong Yan,et al. Discovering biclusters in gene expression data based on high-dimensional linear geometries , 2008, BMC Bioinformatics.
[17] Hong Yan,et al. A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data. , 2008, Journal of theoretical biology.
[18] Eugenio Cesario,et al. Random walk biclustering for microarray data , 2008, Inf. Sci..
[19] Jun S Liu,et al. Bayesian biclustering of gene expression data , 2008, BMC Genomics.
[20] Armando Blanco,et al. Possibilistic approach for biclustering microarray data , 2007, Comput. Biol. Medicine.
[21] Josef Kittler,et al. Improving Stability of Feature Selection Methods , 2007, CAIP.
[22] Ioannis P. Androulakis,et al. A novel non-overlapping bi-clustering algorithm for network generation using living cell array data , 2007, Bioinform..
[23] Melanie Hilario,et al. Stability of feature selection algorithms: a study on high-dimensional spaces , 2007, Knowledge and Information Systems.
[24] Ludmila I. Kuncheva,et al. A stability index for feature selection , 2007, Artificial Intelligence and Applications.
[25] Sushmita Mitra,et al. Multi-objective evolutionary biclustering of gene expression data , 2006, Pattern Recognit..
[26] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[27] Jesús S. Aguilar-Ruiz,et al. Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms , 2006, KES.
[28] Matti Nykter,et al. Simulation of microarray data with realistic characteristics , 2006, BMC Bioinformatics.
[29] Lothar Thiele,et al. A systematic comparison and evaluation of biclustering methods for gene expression data , 2006, Bioinform..
[30] Federico Divina,et al. Biclustering of expression data with evolutionary computation , 2006, IEEE Transactions on Knowledge and Data Engineering.
[31] Casper J. Albers,et al. SIMAGE: simulation of DNA-microarray gene expression data , 2006, BMC Bioinformatics.
[32] J. A. Lozano,et al. Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) , 2006 .
[33] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[34] Jesús S. Aguilar-Ruiz,et al. Shifting and scaling patterns from gene expression data , 2005, Bioinform..
[35] Wojtek J. Krzanowski,et al. Biclustering models for structured microarray data , 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[36] Simon Kasif,et al. GEMS: a web server for biclustering analysis of expression data , 2005, Nucleic Acids Res..
[37] Federico Divina,et al. GA-based approach to discover meaningful biclusters , 2005, GECCO '05.
[38] Padraig Cunningham,et al. Biclustering of expression data using simulated annealing , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).
[39] Doron Lancet,et al. Alternative splicing and gene duplication are inversely correlated evolutionary mechanisms , 2005, Nature Genetics.
[40] A. Sabichi,et al. Inverse relationship between 15-lipoxygenase-2 and PPAR-gamma gene expression in normal epithelia compared with tumor epithelia. , 2005, Neoplasia.
[41] Wojtek J. Krzanowski,et al. Improved biclustering of microarray data demonstrated through systematic performance tests , 2005, Comput. Stat. Data Anal..
[42] Aidong Zhang,et al. Cluster analysis for gene expression data: a survey , 2004, IEEE Transactions on Knowledge and Data Engineering.
[43] W. Szpankowski,et al. Biclustering gene-feature matrices for statistically significant dense patterns , 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..
[44] Jinze Liu,et al. Biclustering in gene expression data by tendency , 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..
[45] Xiaobo Zhou,et al. Gene Clustering Based on Clusterwide Mutual Information , 2004, J. Comput. Biol..
[46] Eckart Zitzler,et al. An EA framework for biclustering of gene expression data , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[47] Wei Wang,et al. OP-cluster: clustering by tendency in high dimensional space , 2003, Third IEEE International Conference on Data Mining.
[48] René Peeters,et al. The maximum edge biclique problem is NP-complete , 2003, Discret. Appl. Math..
[49] Bart De Moor,et al. Biclustering microarray data by Gibbs sampling , 2003, ECCB.
[50] Inderjit S. Dhillon,et al. Information-theoretic co-clustering , 2003, KDD '03.
[51] Morven Leese,et al. Book Review: Mathematical Classification and Clustering (Nonconvex Optimization and Its Applications, Vol. 11) , 2003 .
[52] Jan Komorowski,et al. Predicting gene ontology biological process from temporal gene expression patterns. , 2003, Genome research.
[53] Joseph T. Chang,et al. Spectral biclustering of microarray data: coclustering genes and conditions. , 2003, Genome research.
[54] Philip S. Yu,et al. Enhanced biclustering on expression data , 2003, Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings..
[55] Volkmar Liebscher,et al. Specificity assessment from fractionation experiments (SAFE): a novel method to evaluate microarray probe specificity based on hybridisation stringencies. , 2003, Nucleic acids research.
[56] T. M. Murali,et al. Extracting Conserved Gene Expression Motifs from Gene Expression Data , 2002, Pacific Symposium on Biocomputing.
[57] Isabelle Bloch,et al. Inexact graph matching by means of estimation of distribution algorithms , 2002, Pattern Recognit..
[58] Pedro Larrañaga,et al. Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions , 2002, Int. J. Approx. Reason..
[59] Philip S. Yu,et al. /spl delta/-clusters: capturing subspace correlation in a large data set , 2002, Proceedings 18th International Conference on Data Engineering.
[60] Roded Sharan,et al. Discovering statistically significant biclusters in gene expression data , 2002, ISMB.
[61] Daniel Hanisch,et al. Co-clustering of biological networks and gene expression data , 2002, ISMB.
[62] Eytan Domany,et al. Coupled Two-way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data , 2002, Bioinform..
[63] Philip S. Yu,et al. Clustering by pattern similarity in large data sets , 2002, SIGMOD '02.
[64] Richard M. Karp,et al. Discovering local structure in gene expression data: the order-preserving submatrix problem , 2002, RECOMB '02.
[65] S. Dudoit,et al. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. , 2002, Nucleic acids research.
[66] Ben Taskar,et al. Rich probabilistic models for gene expression , 2001, ISMB.
[67] Aidong Zhang,et al. Interrelated two-way clustering: an unsupervised approach for gene expression data analysis , 2001, Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001).
[68] D. Botstein,et al. Genomic expression programs in the response of yeast cells to environmental changes. , 2000, Molecular biology of the cell.
[69] Pedro Larrañaga,et al. Feature Subset Selection by Bayesian network-based optimization , 2000, Artif. Intell..
[70] David E. Goldberg,et al. Genetic Algorithms, Clustering, and the Breaking of Symmetry , 2000, PPSN.
[71] George M. Church,et al. Biclustering of Expression Data , 2000, ISMB.
[72] Andrea Califano,et al. Analysis of Gene Expression Microarrays for Phenotype Classification , 2000, ISMB.
[73] Pedro Larrañaga,et al. Combinatonal Optimization by Learning and Simulation of Bayesian Networks , 2000, UAI.
[74] Dirk Thierens,et al. Linkage Information Processing In Distribution Estimation Algorithms , 1999, GECCO.
[75] Zohar Yakhini,et al. Clustering gene expression patterns , 1999, J. Comput. Biol..
[76] P. D’haeseleer,et al. Mining the gene expression matrix: inferring gene relationships from large scale gene expression data , 1998 .
[77] Heinz Mühlenbein,et al. The Equation for Response to Selection and Its Use for Prediction , 1997, Evolutionary Computation.
[78] Shumeet Baluja,et al. Using Optimal Dependency-Trees for Combinational Optimization , 1997, ICML.
[79] Paul A. Viola,et al. MIMIC: Finding Optima by Estimating Probability Densities , 1996, NIPS.
[80] Juan Julián Merelo Guervós,et al. Proceedings of the 7th International Conference on Parallel Problem Solving from Nature , 1996 .
[81] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[82] C. Angeletti,et al. Bcl-2 protein: a prognostic factor inversely correlated to p53 in non-small-cell lung cancer. , 1995, British Journal of Cancer.
[83] J. Hartigan. Direct Clustering of a Data Matrix , 1972 .
[84] J. Morgan,et al. Problems in the Analysis of Survey Data, and a Proposal , 1963 .
[85] Waseem Ahmad,et al. cHawk : An Efficient Biclustering Algorithm based on Bipartite Graph Crossing Minimization , 2007 .
[86] Pedro Larrañaga,et al. Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms , 2006, Towards a New Evolutionary Computation.
[87] J. A. Lozano,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[88] Arlindo L. Oliveira,et al. Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[89] Inderjit S. Dhillon,et al. Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data , 2004, SDM.
[90] Partha S. Vasisht. Computational Analysis of Microarray Data , 2003 .
[91] DataLaura LazzeroniStanford Universitylaura. Plaid Models for Gene Expression , 2000 .
[92] L. Lazzeroni. Plaid models for gene expression data , 2000 .
[93] Fernando G. Lobo,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[94] M. Pelikán,et al. The Bivariate Marginal Distribution Algorithm , 1999 .
[95] S. Baluja,et al. Using Optimal Dependency-Trees for Combinatorial Optimization: Learning the Structure of the Search Space , 1997 .