Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Enhanced Biclustering on Expression Data
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
The maximum edge biclique problem is NP-complete
Discrete Applied Mathematics
Mining Deterministic Biclusters in Gene Expression Data
BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
Biclustering in Gene Expression Data by Tendency
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Gene Ontology Friendly Biclustering of Expression Profiles
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Biclustering of Expression Data Using Simulated Annealing
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Natural computing methods in bioinformatics: A survey
Information Fusion
Gene interaction - An evolutionary biclustering approach
Information Fusion
A genetic algorithm with gene rearrangement for K-means clustering
Pattern Recognition
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A fuzzy biclustering algorithm for social annotations
Journal of Information Science
Stability and Performances in Biclustering Algorithms
Computational Intelligence Methods for Bioinformatics and Biostatistics
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering
BSB '09 Proceedings of the 4th Brazilian Symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Improving a multi-objective multipopulation artificial immune network for biclustering
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Cross-Correlation and Evolutionary Biclustering: Extracting Gene Interaction Sub-networks
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Oncogenes classification measured by microarray using Genetic Algorithms
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Application of reactive GRASP to the biclustering of gene expression data
ISB '10 Proceedings of the International Symposium on Biocomputing
Evolutionary fuzzy biclustering of gene expression data
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Evolutionary metaheuristic for biclustering based on linear correlations among genes
Proceedings of the 2010 ACM Symposium on Applied Computing
Biclusters evaluation based on shifting and scaling patterns
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Data analysis and bioinformatics
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Evolutionary biclustering with correlation for gene interaction networks
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Microarray data biclustering with multi-objective immune algorithm
ICNC'09 Proceedings of the 5th international conference on Natural computation
Query expansion using an immune-inspired biclustering algorithm
Natural Computing: an international journal
A novel approach for biclustering gene expression data using modular singular value decomposition
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Iterated local search for biclustering of microarray data
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
BAT: a new biclustering analysis toolbox
BSB'10 Proceedings of the Advances in bioinformatics and computational biology, and 5th Brazilian conference on Bioinformatics
Genetic Networks and Soft Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A novel probabilistic encoding for EAs applied to biclustering of microarray data
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Mining coherent biclusters with fish school search
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Correlation–based scatter search for discovering biclusters from gene expression data
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A new grouping genetic algorithm for clustering problems
Expert Systems with Applications: An International Journal
A note on a Maximum k-Subset Intersection problem
Information Processing Letters
Aggregation of correlation measures for the reverse engineering of gene regulatory sub-networks
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Ensemble methods for biclustering tasks
Pattern Recognition
Semi supervised clustering: a pareto approach
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data
Knowledge-Based Systems
Predicting missing values with biclustering: A coherence-based approach
Pattern Recognition
Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm
International Journal of Applied Evolutionary Computation
Dense subgraph mining with a mixed graph model
Pattern Recognition Letters
CoBi: Pattern Based Co-Regulated Biclustering of Gene Expression Data
Pattern Recognition Letters
A repeated local search algorithm for biclustering of gene expression data
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
A new measure for gene expression biclustering based on non-parametric correlation
Computer Methods and Programs in Biomedicine
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Biclustering or simultaneous clustering of both genes and conditions have generated considerable interest over the past few decades, particularly related to the analysis of high-dimensional gene expression data in information retrieval, knowledge discovery, and data mining. The objective is to find sub-matrices, i.e., maximal subgroups of genes and subgroups of conditions where the genes exhibit highly correlated activities over a range of conditions. Since these two objectives are mutually conflicting, they become suitable candidates for multi-objective modeling. In this study, a novel multi-objective evolutionary biclustering framework is introduced by incorporating local search strategies. A new quantitative measure to evaluate the goodness of the biclusters is developed. The experimental results on benchmark datasets demonstrate better performance as compared to existing algorithms available in literature.