Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Predictive data mining: a practical guide
Predictive data mining: a practical guide
A fast bit-vector algorithm for approximate string matching based on dynamic programming
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
A clustering algorithm based on graph connectivity
Information Processing Letters
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Protein Secondary-Structure Modeling with Probabilistic Networks
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction
DS '02 Proceedings of the 5th International Conference on Discovery Science
Approximate String Matching in DNA Sequences
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Time Series Analysis of Gene Expression and Location Data
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
Interactive exploration of coherent patterns in time-series gene expression data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards interactive exploration of gene expression patterns
ACM SIGKDD Explorations Newsletter
A genetic integrated fuzzy classifier
Pattern Recognition Letters - Special issue: Advances in pattern recognition
Biclustering of Expression Data Using Simulated Annealing
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Predictive neural networks for gene expression data analysis
Neural Networks
Inference in Hidden Markov Models (Springer Series in Statistics)
Inference in Hidden Markov Models (Springer Series in Statistics)
Biclustering of Gene Expression Data by Simulated Annealing
HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
Multi-objective evolutionary biclustering of gene expression data
Pattern Recognition
The role of pre-mrna secondary structure in gene splicing in saccharomyces cerevisiae
The role of pre-mrna secondary structure in gene splicing in saccharomyces cerevisiae
A new multi-layers method to analyze gene expression
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Towards automatic detecting of overlapping genes - clustered BLAST analysis of viral genomes
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
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Data analysis methods and techniques are revisited in the case of biological data sets. Particular emphasis is given to clustering and mining issues. Clustering is still a subject of active research in several fields such as statistics, pattern recognition, and machine learning. Data mining adds to clustering the complications of very large data-sets with many attributes of different types. And this is a typical situation in biology. Some cases studies are also described.