Publications

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.

Meyer PE, F.Lafitte, G.Bontempi. minet: Mutual Information NETwork inference. [Internet]. 2007.

Santos F, Bersiniłdots} H, Lenaerts T. Networks regulating networks: the effects of constraints on topological evolution. Proceedings of the 9th European conference in Advances in Artificial Life [Internet]. 2007:956–965.

Loi S, Sotiriou C, Haibe-Kains B, Lallemand F, Conus N, Piccart MJ, Speed T, McArthur GA. Overcoming tamoxifen resistance in the luminal B subtype by targeting activated HER2 (ERBB2) signaling in the absence of HER2 overexpression: tailoring treatment in hormone responsive breast cancer.

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.

Desmedt C, Piette F, Loi S, Wang Y, Lallemand F, Haibe-Kains B, Viale G, Delorenzi M, Zhang Y, Saghatchian d'Assignies M, et al. Strong time-dependency of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multi-centre independent validation series. Clinical Cancer Research. 2007:3207-14.

Desmedt C, Piette F, Cardoso F, Wang Y, Loi S, Lallemand F, Klijn J, Haibe-Kains B, Viale G, Delorenzi M, et al. TRANSBIG multi-centre independent validation of the Rotterdam 76-gene prognostic signature for patients with node-negative breast cancer.

Durbecq V, Toussaint J, Haibe-Kains B, Desmedt C, Rouas G, Larsimont D, Buyse M, Bontempi G, Piccart MJ, Sotiriou C, et al. Transforming genomic grade index (GGI) into a user-friendly qRT-PCR tool which will assist clinicians and patients in optimizing treatment of early breast cancer (BC).

Le Borgne Y, Bontempi G. Unsupervised and Supervised Compression with Principal Component Analysis in Wireless Sensor Networks.

Stamatopoulos B, Heuleman N, Haibe-Kains B, Duvillier H, Massy M, Martiat P, Bron D, Lagneaux L. Zap-70 mRNA expression quantified in B cell by real time PCR is a powerful prognostic factor in Chronic Lymphocytic Leukemia.

Villacci D, Bontempi G, Vaccaro A. An adaptive local learning based methodology for voltage regulation in distribution networks with dispersed generation. IEEE Transactions on Power Systems. 2006:1131-1140.

Tshibasu-Kabeya B, Bontempi G, Beaugendre F, Marechal G. AIDAR: Une architecture pour l'indexation de documents audionumériques.

Equeter C, Ouriaghli EF, Haibe-Kains B, Stamatopoulos B, André F, Lallemand F, Filippov V, Larsimont D, Sotiriou C, Willard-Gallo K, et al. CD4+ T cells infiltrating breast tumors exhibit altered expression of T cell immune response genes in comparison with their counterparts from the lymph node and blood.

Haibe-Kains B, Sotiriou C, Bontempi G. Class Discovery and Class Prediction from Human Cancer Microarray Datasets.

Sotiriou C, Wirapati P, Loi S, Haibe-Kains B, Desmedt C, Tutt A, Ellis P, Buyse M, Delorenzi M, Piccart M, et al. Comprehensive analysis integrating both clinicopathological and gene expression data in more than 1500 samples: Proliferation captured by gene expression grade index appears to be the strongest prognostic factor in breast cancer (BC).

Sotiriou C, Haibe-Kains B, Desmedt C, Wirapati P, Durbecq V, Harris A, Larsimont D, Bontempi G, Buyse M, Delorenzi M, et al. Comprehensive molecular analysis of several prognostic signatures using molecular indices related to hallmarks of breast cancer: proliferation index appears to be the most significant component of all signatures.

Santos FC, Pacheco JM, Lenaerts T. Cooperation prevails when individuals adjust their social ties. PLoS Comput Biol. 2006:e140.

Santos FC, Pacheco JM, Lenaerts T. Evolutionary dynamics of social dilemmas in structured heterogeneous populations. Proc Natl Acad Sci USA [Internet]. 2006:3490–4.

Desmedt C, Azambuja E, Di Leo A, Larsimont D, Durbecq V, Antoine D, Lallemand F, Haibe-Kains B, Cardoso F, Nogaret JM, et al. Gene expression profiling can predict pathological complete response (pCR) to anthracycline-monotherapy in estrogen-receptor (ER) negative breast cancer (BC) patients.

Sotiriou C, Wirapati P, Loi SM, Desmedt C, Durbecq V, Harris A, Bergh J, Smeds J, Haibe-Kains B, Larsimont D, et al. Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis. Journal of National Cancer Institute. 2006:262-272.

Sotiriou C, Wirapati P, Loi S, Haibe-Kains B, Piette F, Buyse M, Bontempi G, Delorenzi M, Piccart M. Is genomic grading killing histological grading ?. In: Journal of European Breast Cancer. Vol. 4. Journal of European Breast Cancer. ; 2006. p. 177.

Bersini H, Lenaerts T, Santos FC. Growing biological networks: beyond the gene-duplication model. Journal of Theoretical Biology [Internet]. 2006:488–505.

Caelen O, Bontempi G, Coussaert E, Barvais L, Clement F. Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia.

Caelen O, Engelman E, Schmartz D, Bontempi G, Barvais L. Preliminary Results of Data Mining in BIS guided Propofol-Remifentanil TCI Anaesthesia(abstract).

Bejjani G, Caelen O, Bontempi G, Perrin L, Barvais L. Retrospective comparison of manual versus semi-automated propofol-remifentanil TCI Anaesthesia (abstract).