Complementary DNA sequencing: expressed sequence tags and human genome project, Science, vol.252, issue.5013, pp.252-1651, 1991. ,
DOI : 10.1126/science.2047873
Gene ontology: Tool for the unification of biology. the gene ontology consortium, Nat Genet, issue.1, p.25, 2000. ,
Gene Expression Profile Classification: A Review, Current Bioinformatics, vol.1, issue.1, pp.55-73, 2006. ,
DOI : 10.2174/157489306775330615
Strong-association-rule mining for large-scale gene-expression data analysis: A case study on human sage data, Genome Biol, issue.12, p.3, 2002. ,
URL : https://hal.archives-ouvertes.fr/hal-00194295
Frequent closed itemset based algorithms: A thorough structural and analytical survey, SIGKDD Explorations, vol.8, issue.1, pp.93-104, 2006. ,
Integrating constraints and metric learning in semi-supervised clustering, Twenty-first international conference on Machine learning , ICML '04, 2004. ,
DOI : 10.1145/1015330.1015360
A CART-based approach to discover emerging patterns in microarray data, Bioinformatics, vol.19, issue.18, pp.2465-2472, 2003. ,
DOI : 10.1093/bioinformatics/btg361
Minimum information about a microarray experiment (miame)-toward standards for microarray data, Nat Genet, issue.4, pp.29-365, 2001. ,
Iterative group analysis (iga): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments, BMC Bioinformatics, p.5, 2004. ,
Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays, Nature Biotechnology, vol.311, issue.6, pp.18-630, 2000. ,
DOI : 10.1038/76469
An ontology driven data mining process, Proc. ICEIS conference, 2008. ,
URL : https://hal.archives-ouvertes.fr/ird-00842979
Integrated analysis of gene expression by association rules discovery, BMC Bioinformatics, vol.7, issue.1, pp.54-69, 2006. ,
DOI : 10.1186/1471-2105-7-54
Association mining, ACM Computing Surveys, vol.38, issue.2, 2006. ,
DOI : 10.1145/1132956.1132958
A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis, BMC Genomics, vol.8, issue.1, p.414, 2007. ,
DOI : 10.1186/1471-2164-8-414
Clustering analysis of gene expression data based on semisupervised visual clustering algorithm, Soft Comput, issue.11, pp.10-981, 2006. ,
Mining top-K covering rule groups for gene expression data, Proceedings of the 2005 ACM SIGMOD international conference on Management of data , SIGMOD '05, pp.670-681, 2005. ,
DOI : 10.1145/1066157.1066234
Mining gene expression databases for association rules, Bioinformatics, vol.19, issue.1, pp.79-86, 2003. ,
DOI : 10.1093/bioinformatics/19.1.79
Cluster analysis and display of genome-wide expression patterns, Proc. Natl. Acad. Sci. USA, pp.95-14863, 1998. ,
DOI : 10.1073/pnas.95.25.14863
Subspace clustering for microarray data analysis: Multiple criteria and significance assessment, Proc. IEEE CSB Conference, pp.582-583, 2004. ,
State of the nation in data integration for bioinformatics, Journal of Biomedical Informatics, vol.41, issue.5, 2008. ,
DOI : 10.1016/j.jbi.2008.01.008
Mining co-regulated gene profiles for the detection of functional associations in gene expression data, Bioinformatics, vol.23, issue.15, 2007. ,
DOI : 10.1093/bioinformatics/btm276
Co-clustering of biological networks and gene expression data, Bioinformatics, vol.18, issue.Suppl 1, pp.18-145, 2002. ,
DOI : 10.1093/bioinformatics/18.suppl_1.S145
Deep analysis of cellular transcriptomes ??? LongSAGE versus classic MPSS, BMC Genomics, vol.8, issue.1, p.333, 2007. ,
DOI : 10.1186/1471-2164-8-333
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining, Decision Support Systems, vol.43, issue.4, pp.43-1207, 2007. ,
DOI : 10.1016/j.dss.2006.02.002
Distance-enhanced association rules for gene expression, Proc. BioKDD Conference, pp.34-40, 2003. ,
Mining gene???sample???time microarray data: a coherent gene cluster discovery approach, Knowledge and Information Systems, vol.17, issue.1, pp.13-305, 2007. ,
DOI : 10.1007/s10115-006-0031-9
Semantic similarity based on corpus statistics and lexical taxonomy. CoRR, cmp-lg, 1997. ,
Microarray gene expression data association rules mining based on jg-tree, Proc. DEXA Workshop, p.27, 2003. ,
Using functional annotation to improve clusterings of gene expression patterns, Information Sciences, vol.145, issue.3-4, pp.3-4, 2002. ,
DOI : 10.1016/S0020-0255(02)00230-X
Subspace Clustering of Microarray Data Based on Domain Transformation, Lecture Notes in Computer Science, vol.4316, pp.14-28, 2006. ,
DOI : 10.1007/11960669_3
Page: Parametric analysis of geneset enrichment, BMC Bioinformatics, issue.8, 2005. ,
Gene expression profiling of dna microarray data using peano count trees, Proc. VCGB Conference, 2001. ,
A framework for integrating ontologies and patternbases , chapter 12, Information Science Reference, 2007. ,
Combining local context with wordnet similarity for word sense identification WordNet: A Lexical Reference System and its Application, 1998. ,
Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations, Proc. Natl. Acad. Sci. USA, pp.97-9834, 2000. ,
DOI : 10.1073/pnas.97.18.9834
On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid, European Journal of Operational Research, vol.184, issue.2, pp.610-626, 2008. ,
DOI : 10.1016/j.ejor.2006.10.059
Discovery of significant rules for classifying cancer diagnosis data, Bioinformatics, vol.19, issue.Suppl 2, pp.93-102, 2003. ,
DOI : 10.1093/bioinformatics/btg1066
Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns, Bioinformatics, vol.18, issue.5, pp.725-734, 2002. ,
DOI : 10.1093/bioinformatics/18.5.725
An information-theoretic definition of similarity, Proc. ICML Conference, 1998. ,
Finding interesting patterns using user expectations, Knowledge and Data Engineering, vol.11, issue.6, pp.817-832, 1999. ,
Comparison of hybridization-based and sequencing-based gene expression technologies on bio, International Journal of Software and Informatics, vol.2, issue.2, 2008. ,
SEMANTIC SIMILARITY MEASURES AS TOOLS FOR EXPLORING THE GENE ONTOLOGY, Biocomputing 2003, 2003. ,
DOI : 10.1142/9789812776303_0056
Pattern Based Management: Data Models and Architectural Aspects, Lecture Notes in Computer Science, vol.3268, pp.54-65, 2005. ,
DOI : 10.1007/978-3-540-30192-9_6
Biclustering algorithms for biological data analysis: a survey, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.1, issue.1, pp.24-45, 2004. ,
DOI : 10.1109/TCBB.2004.2
Extracted knowledge interpretation in mining biological data: A survey, International Journal of Computer Science & Applications, issue.2, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00476710
GenMiner: Mining Informative Association Rules from Genomic Data, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), pp.15-22, 2007. ,
DOI : 10.1109/BIBM.2007.49
URL : https://hal.archives-ouvertes.fr/hal-00361737
Co-expressed gene groups analysis (cgga): An automatic tool for the interpretation of microarray experiments, Journal of Integrative Bioinformatics, vol.3, issue.2, pp.1-12, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00172501
High Confidence Rule Mining for Microarray Analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.4, issue.4, pp.611-623, 2007. ,
DOI : 10.1109/tcbb.2007.1050
PGC-1??-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes, Nature Genetics, vol.34, issue.3, pp.267-273, 2003. ,
DOI : 10.1038/ng1180
Carpenter, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.637-642, 2003. ,
DOI : 10.1145/956750.956832
Subspace clustering for high dimensional data, ACM SIGKDD Explorations Newsletter, vol.6, issue.1, pp.90-105, 2004. ,
DOI : 10.1145/1007730.1007731
Biological data integration using Semantic Web technologies, Biochimie, vol.90, issue.4, 2008. ,
DOI : 10.1016/j.biochi.2008.02.007
URL : https://hal.archives-ouvertes.fr/hal-00362021
Mining cross-graph quasi-cliques in gene expression and protein interaction data, ICDE Conference, pp.353-354, 2005. ,
Closed set mining of biological data, Proc. BioKDD Conference, 2002. ,
A systematic comparison and evaluation of biclustering methods for gene expression data, Bioinformatics, vol.22, issue.9, pp.221122-1129, 2006. ,
DOI : 10.1093/bioinformatics/btl060
Using information content to evaluate semantic similarity in a taxonomy, Proc. IJCAI Conference, pp.448-453, 1995. ,
Towards a Logical Model for Patterns, Proc. ER Conference, pp.77-90, 2003. ,
DOI : 10.1007/978-3-540-39648-2_9
Advancing translational research with the Semantic Web, BMC Bioinformatics, vol.8, issue.Suppl 3, 2007. ,
DOI : 10.1186/1471-2105-8-S3-S2
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray, Science, vol.270, issue.5235, pp.270-467, 1995. ,
DOI : 10.1126/science.270.5235.467
A new measure for functional similarity of gene products based on gene ontology, BMC Bioinformatics, vol.7, issue.1, p.302, 2006. ,
DOI : 10.1186/1471-2105-7-302
Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data, Nature Genetics, vol.291, issue.2, pp.34-166, 2003. ,
DOI : 10.1038/35057062
Discovering molecular pathways from protein interaction and gene expression data, Bioinformatics, vol.19, issue.Suppl 1, pp.264-272, 2003. ,
DOI : 10.1093/bioinformatics/btg1037
What makes patterns interesting in knowledge discovery systems, IEEE Transactions on Knowledge and Data Engineering, vol.8, issue.6, pp.970-974, 1996. ,
DOI : 10.1109/69.553165
Discovering statistically significant biclusters in gene expression data, Bioinformatics, vol.18, issue.Suppl 1, pp.136-144, 2002. ,
DOI : 10.1093/bioinformatics/18.suppl_1.S136
Intrinsic noise in gene regulatory networks, Proc. Natl. Acad ,
DOI : 10.1073/pnas.151588598
Handling very large numbers of association rules in the analysis of microarray data, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.396-404, 2002. ,
DOI : 10.1145/775047.775104
Serial Analysis of Gene Expression, Science, vol.270, issue.5235, pp.484-491, 1995. ,
DOI : 10.1126/science.270.5235.484
Bioinformatics applications for pathway analysis of microarray data, Current Opinion in Biotechnology, vol.19, issue.1, pp.50-54, 2008. ,
DOI : 10.1016/j.copbio.2007.11.005
Application of Emerging Patterns for Multi-source Bio-Data Classification and Analysis, Lecture Notes in Computer Science, p.3610, 2005. ,
DOI : 10.1007/11539087_128
Conceptual Graph Matching for Semantic Search, Proc. ICCS Conference, pp.92-196, 2002. ,
DOI : 10.1007/3-540-45483-7_8
URL : http://apex.sjtu.edu.cn/docs/iccs2002.pdf
Three decades of data integration -all problems solved?, Proc. IFIP Congess Topical Sessions, pp.3-12, 2004. ,