Multi-objective evolutionary biclustering of gene expression data

[1]  Sushmita Mitra,et al.  Evolutionary Rough Feature Selection in Gene Expression Data , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Witold Pedrycz,et al.  Special Issue on Bioinformatics , 2006, Pattern Recognit..

[3]  Krista Rizman Zalik,et al.  Biclustering of gene expression data , 2005 .

[4]  Sun-Yuan Kung,et al.  Multi-metric and multi-substructure biclustering analysis for gene expression data , 2005, 2005 IEEE Computational Systems Bioinformatics Conference (CSB'05).

[5]  Padraig Cunningham,et al.  Biclustering of expression data using simulated annealing , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[6]  Ya Zhang,et al.  A time-series biclustering algorithm for revealing co-regulated genes , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[7]  Ahmed H. Tewfik,et al.  Biclustering of DNA microarray data with early pruning , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[8]  Wojtek J. Krzanowski,et al.  Improved biclustering of microarray data demonstrated through systematic performance tests , 2005, Comput. Stat. Data Anal..

[9]  Jiebo Luo,et al.  Data Mining. Multimedia, Soft Computing, and Bioinformatics , 2005, IEEE Transactions on Neural Networks.

[10]  Jinze Liu,et al.  Biclustering in gene expression data by tendency , 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

[11]  Jiong Yang,et al.  Gene ontology friendly biclustering of expression profiles , 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

[12]  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).

[13]  Beng Chin Ooi,et al.  Mining deterministic biclusters in gene expression data , 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

[14]  Arlindo L. Oliveira,et al.  Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[15]  Inderjit S. Dhillon,et al.  Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data , 2004, SDM.

[16]  René Peeters,et al.  The maximum edge biclique problem is NP-complete , 2003, Discret. Appl. Math..

[17]  Philip S. Yu,et al.  Enhanced biclustering on expression data , 2003, Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings..

[18]  Eytan Domany,et al.  Coupled Two-way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data , 2002, Bioinform..

[19]  Roded Sharan,et al.  Discovering statistically significant biclusters in gene expression data , 2002, ISMB.

[20]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[21]  R. Altman,et al.  Whole-genome expression analysis: challenges beyond clustering. , 2001, Current opinion in structural biology.

[22]  Ben Taskar,et al.  Rich probabilistic models for gene expression , 2001, ISMB.

[23]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[24]  George M. Church,et al.  Biclustering of Expression Data , 2000, ISMB.

[25]  L. Lazzeroni Plaid models for gene expression data , 2000 .

[26]  G. Church,et al.  Systematic determination of genetic network architecture , 1999, Nature Genetics.

[27]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[28]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[29]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[30]  J. Hartigan Direct Clustering of a Data Matrix , 1972 .