R. B. Stoughton, APPLICATIONS OF DNA MICROARRAYS IN BIOLOGY, Annual Review of Biochemistry, vol.74, issue.1, pp.53-82, 2005.
DOI : 10.1146/annurev.biochem.74.082803.133212

M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, Cluster analysis and display of genome-wide expression patterns, Aproc Natl Acad Sciv USA, pp.27814863-14868, 1998.
DOI : 10.1073/pnas.95.25.14863

A. Brazma, J. Vilo, and E. Cesareni, Gene expression data analysis, FEBS Letters, vol.55, issue.1, pp.17-24, 2000.
DOI : 10.1016/S0014-5793(00)01772-5

P. Audrey, . Gasch, B. Michael, and . Eisen, Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering, Genome Biology, vol.3, issue.11, 2002.

S. Tavazoie, J. D. Hughes, M. J. Campbell, R. J. Cho, and G. M. Church, Systematic determination of genetic network architecture, Nature Genetics, vol.22, pp.281-285, 1999.

D. Hadenfalk, Y. David, . Chen, B. Michael, . Michael et al., Gene-Expression Profiles in Hereditary Breast Cancer, New England Journal of Medicine, vol.344, issue.8, pp.539-587, 2001.
DOI : 10.1056/NEJM200102223440801

E. Gurin, G. Marquet, J. Chabalier, M. Troadec, C. Guguen-guillouzo et al., Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes, J. Integrative Bioinformatics, vol.3, issue.2, 2006.

S. Benabderrahmane, Ontology-based gene set enrichment analysis using an efficient semantic similarity measure and functional clustering, Proceedings of the 4th International conference on Web and Information Technologies, ICWIT 2012, pp.151-159, 2012.

B. Sidahmed, Intelligo: a new vector-based semantic similarity measure including annotation origin, BMC Bioinformatics, vol.11, issue.1, p.588, 2010.

B. Sidahmed, Ontology-based functional classification of genes: Evaluation with reference sets and overlap analysis, Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on, pp.201-208, 2011.

S. Benabderrahmane, Functional classification of genes using semantic distance and fuzzy clustering approach: evaluation with reference sets and overlap analysis. I, J. Computational Biology and Drug Design, vol.5, issue.34, pp.245-260, 2012.

A. Napoli, A smooth introduction to symbolic methods for knowledge discovery. Handbook of Categorization in Cognitive Science, pp.913-933, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00001210

B. Ganter and R. Wille, Formal Concept Analysis: Mathematical foundations, 1999.

S. Blachon, J. Besson, C. Robardet, J. Boulicaut, O. Gandrillon et al., Clustering formal concepts to discover biologically relevant knowledge from gene expression data, In silico Biology, vol.7, issue.45, pp.467-483, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00294025

S. Benabderrahmane, Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking, Lecture Notes in Computer Science, vol.7885, pp.84-93, 2013.
DOI : 10.1007/978-3-642-38326-7_13
URL : https://hal.archives-ouvertes.fr/hal-00934265

S. Benabderrahmane, Enhancing transcriptomic data mining with semantic ranking: Towards a new functional spectral representation, pp.721-730, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00934279

K. Ovaska, M. Laakso, and S. Hautaniemi, Fast Gene Ontology based clustering for microarray experiments, BioData Mining, vol.28, issue.11, p.11, 2008.
DOI : 10.1093/nar/28.1.27

M. Kanehisa, S. Goto, Y. Sato, M. Kawashima, M. Furumichi et al., Data, information, knowledge and principle: back to metabolism in KEGG, Nucleic Acids Research, vol.42, issue.D1, pp.199-205, 2014.
DOI : 10.1093/nar/gkt1076

J. J. Heather and . Cordell, Genome-wide association studies: Detecting gene-gene interactions that underlie human diseases, Nature reviews. Genetics, 2009.

G. Schreiber, R. Mark, and . Walter, Cytokine???receptor interactions as drug targets, Current Opinion in Chemical Biology, vol.14, issue.4, pp.511-519, 2010.
DOI : 10.1016/j.cbpa.2010.06.165

P. Wei, H. Tang, and D. Li, Insights into Pancreatic Cancer Etiology from Pathway Analysis of Genome-Wide Association Study Data, PLoS ONE, vol.7, issue.10, pp.46887-2012
DOI : 10.1371/journal.pone.0046887.s004

E. Eden, R. Navon, I. Steinfeld, D. Lipson, and Z. Yakhini, GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists, BMC Bioinformatics, vol.10, issue.1, p.48, 2009.
DOI : 10.1186/1471-2105-10-48

F. Helene, Differential expression of aquaporin 8 in human colonic epithelial cells and colorectal tumors, BMC Physiology, vol.1, issue.11, 2001.