Articles dans des revues avec comité de lecture (157)
  1. 57. Olsen, C., Fleming, K., Prendergast, N., Rubio, R., Emmert-Streib, F., Bontempi, G., Quackenbush, J., & Haibe-Kains, B. (2015). Using shRNA experiments to validate gene regulatory networks. Genomics Data, 4, 123-126. doi:10.1016/j.gdata.2015.03.011
  2. 58. Lima Mendez, G., Faust, K., Henry, N. L., Decelle, J., Colin, S., Carcillo, F., Chaffron, S., Ignacio-Espinosa, C. J., Roux, S., Vincent, F., Bittner, L., Darzi, Y., Wang, J., Audic, S., Berline, L., Bontempi, G., Cabello, A. A., Coppola, L., Cornejo-Castillo, F. F., d'Ovidio, F., De Meester, L., Ferrera, I., Garet-Delmas, M.-J., Guidi, L., Lara, E., Pesant, S., Royo-Llonch, M., Salazar, G., Sanchez, P., Sebastian, M., Souffreau, C., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Tara Oceans coordinators,, Gorsky, G., Not, F., Ogata, H., Speich, S., Stemmann, L., Weissenbach, J., Wincker, P., Acinas, S. S., Sunagawa, S., Bork, P., Sullivan, M. B., Karsenti, E., Bowler, C., de Vargas, C., & Raes, J. J. (2015). Ocean plankton. Determinants of community structure in the global plankton interactome. Science, 348(6237), 1262073. doi:10.1126/science.1262073
  3. 59. Colaprico, A., Cava, C., Bertoli, G., Bontempi, G., & Castiglioni, I. (2015). Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer. BioMed Research International, 2015, 831314. doi:10.1155/2015/831314
  4. 60. Cuellar, M. M., Ros, M., Bautista, M. J. M., Le Borgne, Y.-A., & Bontempi, G. (2015). An approach for the evaluation of human activities in physical therapy scenarios. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 141, 401-414. doi:10.1007/978-3-319-16292-8_29
  5. 61. Lerman, L., Poussier, R., Bontempi, G., Markowitch, O., & Standaert, F.-X. (2015). Template attacks vs. Machine learning revisited (and the curse of dimensionality in side-channel analysis). Lecture notes in computer science, 9064, 20-33. doi:10.1007/978-3-319-21476-4_2
  6. 62. Dal Pozzolo, A., Caelen, O., & Bontempi, G. (2015). When is undersampling effective in unbalanced classification tasks? Lecture notes in computer science, 9284, A13, 200-215. doi:10.1007/978-3-319-23528-8_13
  7. 63. Bontempi, G., & Flauder, M. (2015). From dependency to causality: a machine learning approach. Journal of machine learning research.
  8. 64. Dedeurwaerder, S., Defrance, M., Bizet, M., Calonne, E., Bontempi, G., & Fuks, F. (2014). A comprehensive overview of Infinium Human Methylation450 data processing. Briefings in bioinformatics, 15(6), bbt054, 929-941. doi:10.1093/bib/bbt054
  9. 65. Trepo, E., Nahon, P., Bontempi, G., Valenti, L., Falleti, E., Nischalke, H. D., Hamza, S., Corradini, S. G., Burza, M. A., Guyot, E., Donati, B., Spengler, U., Hillon, P., Toniutto, P., Henrion, J., Franchimont, D., Devière, J., Mathurin, P., Moreno, C., Romeo, S., & Deltenre, P. (2014). Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data. Hepatology, 59(6), 2170-2177. doi:10.1002/hep.26767
  10. 66. Lerman, L., Fernandes Medeiros, S., Bontempi, G., & Markowitch, O. (2014). A Machine Learning Approach Against a Masked AES. Lecture notes in computer science, 8419, 61-75.
  11. 67. Lopes, M., Kutlu, B., Miani, M., Bang-Berthelsen, C. H., Størling, J., Pociot, F., Goodman, N., Hood, L., Welsh, N., Bontempi, G., & Eizirik, D. L. (2014). Temporal profiling of cytokine-induced genes in pancreatic beta-cells by meta-analysis and network inference. Genomics. doi:10.1016/j.ygeno.2013.12.007
  12. 68. Lerman, L., Bontempi, G., & Markowitch, O. (2014). Power analysis attack: an approach based on machine learning. International Journal of Applied Cryptography, 3(2), 97-115. doi:10.1504/IJACT.2014.062722
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