Articles dans des revues avec comité de lecture (156)
  1. 45. Pham, N. C., Haibe-Kains, B., Bellot, P., Bontempi, G., & Meyer, P. E. (2017). Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches. Proceedings - International Workshop on Database and Expert Systems Applications,, 7816628 76-83. doi:10.1109/DEXA.2016.030
  2. 46. Cava, C., Colaprico, A., Bertoli, G., Graudenzi, A., Silva, T. C., Olsen, C., Noushmehr, H., Bontempi, G., Mauri, G., & Castiglioni, I. (2017). SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data. International journal of molecular sciences. doi:10.3390/ijms18020274
  3. 47. Cava, C., Colaprico, A., Bertoli, G., Bontempi, G., Mauri, G., & Castiglioni, I. (2016). How interacting pathways are regulated by miRNAs in breast cancer subtypes. BMC bioinformatics, 17, 348. doi:10.1186/s12859-016-1196-1
  4. 48. Van Grembergen, O., Bizet, M., de Bony, E. J., Calonne, E., Putmans, P., Brohée, S., Olsen, C., Guo, M., Bontempi, G., Sotiriou, C., Defrance, M., & Fuks, F. (2016). Portraying breast cancers with long noncoding RNAs. Science advances, 2(9), e1600220. doi:10.1126/sciadv.1600220
  5. 49. Le Borgne, Y.-A., Homolova, A., & Bontempi, G. (2016). OpenTED browser: Insights into European Public Spendings. CEUR Workshop Proceedings, 1831.
  6. 50. Silva, T. T., Colaprico, A., Olsen, C., D'Angelo, F., Bontempi, G., Ceccarelli, M., & Noushmehr, H. (2016). TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages [version 1; referees: 1 approved, 1 approved with reservations]. F1000Research, 5, 1542. doi:10.12688/F1000RESEARCH.8923.1
  7. 51. Bontempi, G. (2016). A blocking strategy for ranking features according to probabilistic relevance. Lecture notes in computer science, 10122 LNCS, 59-69. doi:10.1007/978-3-319-51469-7_5
  8. 52. Colaprico, A., Da Silva, T., Olsen, C., Garofano, L., Cava, C., Garolini, D., Sabedot, T. T., Malta, T. T., Pagnotta, S. S., Castiglioni, I., Ceccarelli, M., Bontempi, G., & Noushmehr, H. (2015). TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic acids research. doi:10.1093/nar/gkv1507
  9. 53. Lerman, L., Bontempi, G., & Markowitch, O. (2015). The bias–variance decomposition in profiled attacks. Journal of Cryptographic Engineering, 5(4), 255-267. doi:10.1007/s13389-015-0106-1
  10. 54. Lerman, L., Poussier, R., Bontempi, G., Markowitch, O., & Standaert, F.-X. (2015). Template attacks vs Machine Learning Revisited. Lecture notes in computer science, 9064, 20-33.
  11. 55. 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
  12. 56. Lerman, L., Bontempi, G., & Markowitch, O. (2015). A machine learning approach against a masked AES: Reaching the limit of side-channel attacks with a learning model. Journal of Cryptographic Engineering, 5(2), 123-139. doi:10.1007/s13389-014-0089-3
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