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Journal Article
Olsen C, Fleming K, Prendergast N, Rubio R, Emmert-Streib F, Bontempi G, Quackenbush J, Haibe-Kains B. Using shRNA experiments to validate gene regulatory networks. Genomics Data [Internet]. 2015:-.
Lopes M, Kutlu B, Miani M, Bang-Berthelsen CH, Størling J, Pociot F, Goodman N, Hood L, Welsh N, Bontempi G, et al. Temporal profiling of cytokine-induced genes in pancreatic Beta-cells by meta-analysis and network inference. Genomics. 2014.
Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM, Castiglioni I, et al. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Research [Internet]. 2015.
Olsen C, Bontempi G, Emmert-Streib F, Quackenbush J, Haibe-Kains B. Relevance of different prior knowledge sources for inferring gene interaction networks. Frontiers in Genetics [Internet]. 2014.
Lerman L, Bontempi G, Markowitch O. Power analysis attack: an approach based on machine learning. International Journal of Applied Cryptography. 2014:97-115.
De Jay N, Papillon-Cavanagh S, Olsen C, Bontempi G, Haibe-Kains B. mRMRe: an R package for parallelized mRMR ensemble feature selection.
Bonnechere B, Wermenbol V, Dan B, Salvia P, Borgne Y-AL, Bontempi G, Vansummeren S, Sholukha V, Moiseev F, Jansen B, et al. Management and interpretation of medical data related to cerebral pasly: the ICT4 Rehab project. European journal of paediatric neurology. 2013:32.
Lerman L, Bontempi G, Markowitch O. A machine learning approach against a masked AES - Reaching the limit of side-channel attacks with a learning model. J. Cryptographic Engineering [Internet]. 2015:123–139.
Lerman L, Bontempi G, Markowitch O. A machine learning approach against a masked AES. Journal of Cryptographic Engineering. 2014:1-17.
Dal Pozzolo A, Caelen O, Borgne Y-AL, Waterschoot S, Bontempi G. Learned lessons in credit card fraud detection from a practitioner perspective. Expert Systems with Applications. 2014.
Olsen C, Fleming K, Prendergast N, Rubio R, Emmert-Streib F, Bontempi G, Haibe-Kains B, Quackenbush J. Inference and validation of predictive gene networks from biomedical literature and gene expression data. Genomics [Internet]. 2014:-.
Lopes M, Bontempi G. Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data. Frontiers in Genetics. 2013.
Brohée S, Bontempi G. D-peaks: A visual tool to display ChIP-seq peaks along the genome. Transcription. 2012.
Dedeurwaerder S, Defrance M, Bizet M, Calonne E, Bontempi G, Fuks F. A comprehensive overview of Infinium HumanMethylation450 data processing. Briefings in bioinformatics. 2013:bbt054.
Papillon-Cavanagh S, De Jay N, Hachem N, Olsen C, Bontempi G, Aerts H, Quackenbush J, Haibe-Kains B. Comparison and Validation of Genomic Predictors for Anticancer Drug Sensitivity. Journal of the American Medical Informatics Association. 2013.
Lerman L, Bontempi G, Markowitch O. The bias-variance decomposition in profiled attacks. Journal of Cryptographic Engineering [Internet]. 2015:1-13.
Trépo E, Nahon P, Bontempi G, Valenti L, Falleti E, Nischalke HD, Hamza S, Corradini SG, Burza MA, Guyot E, et al. Association between the PNPLA3 (rs738409 C> G) variant and hepatocellular carcinoma: evidence from a meta-analysis of individual participant data. Hepatology. 2013.
Trépo E, Nahon P, Bontempi G, Valenti L, Falleti E, Nischalke H-D, Hamza S, Corradini SG, Burza MA, Guyot E, et al. Association between the PNPLA3 (rs738409 C> G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data. Hepatology. 2014:2170–2177.

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