Recovery in a shared disk parallel database system using DFeRAM
HPC-ASIA '97 Proceedings of the High-Performance Computing on the Information Superhighway, HPC-Asia '97
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Identifying projected clusters from gene expression profiles
Journal of Biomedical Informatics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Biclustering of Gene Expression Data by Simulated Annealing
HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
Biclustering of Expression Data with Evolutionary Computation
IEEE Transactions on Knowledge and Data Engineering
Knowledge guided analysis of microarray data
Journal of Biomedical Informatics
Multi-objective evolutionary biclustering of gene expression data
Pattern Recognition
Finding biclusters by random projections
Theoretical Computer Science
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
DNA microarray data analysis: a novel biclustering algorithm approach
EURASIP Journal on Applied Signal Processing
Random walk biclustering for microarray data
Information Sciences: an International Journal
Computers and Operations Research
Journal of Signal Processing Systems
Techniques for clustering gene expression data
Computers in Biology and Medicine
On mining micro-array data by Order-Preserving Submatrix
International Journal of Bioinformatics Research and Applications
Approximation algorithms for co-clustering
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Multi-Objective Multipopulation Approach for Biclustering
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
bicACO: An Ant Colony Inspired Biclustering Algorithm
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Top-down mining of frequent closed patterns from very high dimensional data
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Mean Square Residue Biclustering with Missing Data and Row Inversions
ISBRA '09 Proceedings of the 5th International Symposium on Bioinformatics Research and Applications
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
Application of reactive GRASP to the biclustering of gene expression data
ISB '10 Proceedings of the International Symposium on Biocomputing
Biclustering gene expression data using KMeans-binary PSO hybrid
ISB '10 Proceedings of the International Symposium on Biocomputing
Gfba: a biclustering algorithm for discovering value-coherent biclusters
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Evolutionary fuzzy biclustering of gene expression data
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Discovering α-patterns from gene expression data
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Mean squared residue based biclustering algorithms
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Mining gene expression patterns for the discovery of overlapping clusters
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Microarray data biclustering with multi-objective immune algorithm
ICNC'09 Proceedings of the 5th international conference on Natural computation
Comparative analysis of biclustering algorithms
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Experimental comparison of biclustering algorithms for PPI networks
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
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
International Journal of Data Mining and Bioinformatics
Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering
International Journal of Data Mining and Bioinformatics
A novel probabilistic encoding for EAs applied to biclustering of microarray data
Proceedings of the 13th annual conference on Genetic and evolutionary computation
BARTMAP: A viable structure for biclustering
Neural Networks
Mining biologically significant co-regulation patterns from microarray data
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Possibilistic approach to biclustering: an application to oligonucleotide microarray data analysis
CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
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
Gene expression biclustering using random walk strategies
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Evolutionary biclustering of microarray data
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Finding gene coherent patterns using PATSUB+
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data
Knowledge-Based Systems
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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Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a powerful tool by which the expression patterns of thousands of genes can be monitored simultaneously and are already producing huge amount of valuable data. The concept of bicluster was introduced by Cheng and Church (2000) to capture the coherence of a subset of genes and a subset of conditions. A set of heuristic algorithms were also designed to either find one bicluster or a set of biclusters, which consist of iterations of masking null values and discovered biclusters, coarse and fine node deletion, node addition, and the inclusion of inverted data. These heuristics inevitably suffer from some serious drawback. The masking of null values and discovered biclusters with random numbers may result in the phenomenon of random interference which in turn impacts the discovery of high qualitybiclusters.To address this issue and to further accelerate the biclustering process, we generalize the model of bicluster to incorporate null values and propose a probabilistic algorithm (FLOC) that can discover a set of k possibly overlapping biclusters simultaneously. Furthermore, this algorithm can easily be extended to support additional features that suit different requirements at virtually little cost. Experimental study on the yeast gene expressiondata shows that the FLOC algorithm can offer substantial improvements over the previously proposed algorithm.