Discovering local structure in gene expression data: the order-preserving submatrix problem
Proceedings of the sixth annual international conference on Computational biology
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
OP-Cluster: Clustering by Tendency in High Dimensional Space
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Deterministic Biclusters in Gene Expression Data
BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
A Time Series Analysis of Microarray Data
BIBE '04 Proceedings of the 4th IEEE Symposium on Bioinformatics and Bioengineering
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Analyzing time series gene expression data
Bioinformatics
Evaluating biological data using rank correlation methods
Evaluating biological data using rank correlation methods
Shifting and scaling patterns from gene expression data
Bioinformatics
BicAT: a biclustering analysis toolbox
Bioinformatics
Multi-objective evolutionary biclustering of gene expression data
Pattern Recognition
A multi-objective approach to discover biclusters in microarray data
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Possibilistic approach for biclustering microarray data
Computers in Biology and Medicine
Random walk biclustering for microarray data
Information Sciences: an International Journal
Journal of Signal Processing Systems
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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
Discovering pattern-based subspace clusters by pattern tree
Knowledge-Based Systems
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Application of reactive GRASP to the biclustering of gene expression data
ISB '10 Proceedings of the International Symposium on Biocomputing
Virtual error: a new measure for evolutionary biclustering
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Iterated local search for biclustering of microarray data
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
A fuzzy intelligent approach to the classification problem in gene expression data analysis
Knowledge-Based Systems
BicFinder: a biclustering algorithm for microarray data analysis
Knowledge and Information Systems
Application of Simulated Annealing to the Biclustering of Gene Expression Data
IEEE Transactions on Information Technology in Biomedicine
Hybrid method for the analysis of time series gene expression data
Knowledge-Based Systems
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Biclustering is a very useful tool for analyzing microarray data. It aims to identify maximal groups of genes which are coherent with maximal groups of conditions. In this paper, we propose a biclustering algorithm, called BiMine+, which is able to detect significant biclusters from gene expression data. The proposed algorithm is based on two original features. First, BiMine+ is based on the use of a new tree structure, called Modified Bicluster Enumeration Tree (MBET), on which biclusters are represented by the profile shapes of genes. Second, BiMine+ uses a pruning rule to avoid both trivial biclusters and combinatorial explosion of the search tree. The performance of BiMine+ is assessed on both synthetic and real DNA microarray datasets. Experimental results show that BiMine+ competes favorably with several state-of-the-art biclustering algorithms and is able to extract functionally enriched and biologically relevant biclusters.