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Journal Article
Le Mercier M, Lefranc F, nd Debeir MTO, Haibe-Kains B, Bontempi G, Decaestecker C, Kiss R, Mathieu V. vidence of galectin-1 involvement in glioma chemoresistance. Toxicology and Applied Pharmacology. 2008:172-183.
Bontempi G, Kruijtzer W. The use of intelligent data analysis techniques for system-level design: a software estimation example. Soft Computing Journal. 2004:477-490.
Mijatovic T, Mahieu T, De Neve N, Dewelle J, Simon G, Dehoux MJM, van der Aar E, Haibe-Kains B, Bontempi G, Deacestecker C, et al. UNBS5162, a Novel Naphthalimide That Decreases CXCL Chemokine Expression in Experimental Prostate Cancers. Neoplasia. 2008:573-586.
Haibe-Kains B, Desmedt C, Loi S, Culhane AC, Bontempi G, Quackenbush J, Sotiriou C. A three-gene model to robustly identify breast cancer molecular subtypes. Journal of the National Cancer Institute. 2012:311–325.
Lefranc F, Spiegl-Kreinecker S, Haibe-Kains B, Bontempi G, Decaestecker C, Berger W, Kiss R. Temozolomide displays antimigratory effects in human glioblastoma cells mediated through neuregulin-1 down-regulation. Surgical Neurology. 2009:134 - 134.
Bontempi G. A statistic criterion for reducing indeterminacy in linear causal modeling. ICPRAM 2103 Conference. 2013.
Moore F, Naamane N, Colli ML, Bouckenooghe T, Ortis F, Gurzov EN, Igoillo-Esteve M, Mathieu C, Bontempi G, Thykjaer T, et al. STAT1 is a master regulator of pancreatic beta cells apoptosis and islet inflammation. J. Biol. Chem. 2010.
Bontempi G, Vaccaro A, Villacci D. A semi-physical modelling architecture for dynamic assessment of power components loading capability. IEE Proceedings of Generation Transmission and Distribution. 2004:533-542.
Villacci D, Bontempi G, Vaccaro A, Birattari M. The role of learning methods in the dynamic assessment of power components loading capability. IEEE Transactions on Industrial Electronics. 2005.
Haibe-Kains B, Culhane AC, Desmedt C, Bontempi G, Quackenbush J, Sotiriou C. Robustness of breast cancer molecular subtypes identification. Annals of Oncology. 2010.
Ben Taieb S, Bontempi G, Atiya A, Sorjamaa A. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert systems with applications. 2012:7067–7083.
Haibe-Kains B, Olsen C, Djebbari A, Bontempi G, Correll M, Bouton C, Quackenbush J. Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. Nucleic Acids Research. 2011.
Loi S, Haibe-Kains B, Desmedt C, Wirapati P, Lallemand F, Tutt A, Gillet C, Ellis P, Ryder K, Reid J, et al. Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen. BMC Genomics [Internet]. 2008:239.
Bontempi G, Vaccaro A, Villacci D. Power cables thermal protection by interval simulation of imprecise dynamical systems. IEE Proceedings of Generation Transmission and Distribution. 2004.
Lerman L, Bontempi G, Markowitch O. Power analysis attack: an approach based on machine learning. International Journal of Applied Cryptography. 2013.
Norguet JP, Tshibasu-Kabeya B, Bontempi G, Zimanyi E. A Page-Classification Approach to Web Usage Semantic Analysis. Engineering Letters, Special Issue: Soft computing in Artificial Intelligence, Data and Web Mining, Machine Learning (Part I). 2007.
Mijatovic T, Neve DN, Gailly P, Mathieu V, Haibe-Kains B, Bontempi G, Lapeira J, Decaestecker C, Facchini V, Kiss R, et al. Nucleolus and c-Myc: potential targets of cardenolide-mediated antitumor activity. Mol Cancer Ther [Internet]. 2008:1285-1296.
Miranda {AA }, Le Borgne Y, Bontempi G. New Routes from Minimal Approximation Error to Principal Components. Neural Processing Letters. 2008:197 - 207.
Miranda AA, Le Borgne Y, Bontempi G. New Routes from Minimal Approximation Error to Principal Components. Neural Processing Letters, Springer Netherlands. 2008:197 - 207.
Bontempi G, Haibe-Kains B, Desmedt C, Sotiriou C, Quackenbush J. Multiple-input multiple-output causal strategies for gene selection. BMC bioinformatics. 2011:458.
Desmedt C, A. DL, de Azambuja E, Larsimont D, B. H-K, J. S, Delaloge S, Duhem C, Kains JP, Carly B, et al. Multifactorial Approach to Predicting Resistance to Anthracyclines. Journal Clinical Oncology [Internet]. 2011.
Meyer PE, Lafitte F, Bontempi G. MINET: An open source R/Bioconductor Package for Mutual Information based Network Inference. BMC Bioinformatics. 2008.
Kontos K, Godard P, André B, van Helden J, Bontempi G. Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast \textitSaccharomyces cerevisiae. BMC Proceedings. 2008:S5.

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