ACM Computing Surveys (CSUR)
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Biclustering of Expression Data
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Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis
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
Minimum Entropy Clustering and Applications to Gene Expression Analysis
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
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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Clustering of diverse genomic data using information fusion
Bioinformatics
Incorporating Gene Ontology in Clustering Gene Expression Data
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Modified global k-means algorithm for clustering in gene expression data sets
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
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Computers in Biology and Medicine
A possibilistic approach to clustering
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An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization
Expert Systems with Applications: An International Journal
Ensemble gene selection by grouping for microarray data classification
Journal of Biomedical Informatics
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Computers in Biology and Medicine
Partition-conditional ICA for Bayesian classification of microarray data
Expert Systems with Applications: An International Journal
F-statistics algorithm for gene clustering evaluation
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering
Expert Systems with Applications: An International Journal
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Chapter 15: search computing and the life sciences
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Improved gene clustering based on particle swarm optimization, k-means, and cluster matching
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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ACM Computing Surveys (CSUR)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
MicroClAn: Microarray clustering analysis
Journal of Parallel and Distributed Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Analysing microarray expression data through effective clustering
Information Sciences: an International Journal
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Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate well and fail to take account of the data profile. This review paper surveys state of the art applications which recognise these limitations and addresses them. As such, it provides a framework for the evaluation of clustering in gene expression analyses. The nature of microarray data is discussed briefly. Selected examples are presented for clustering methods considered.