| Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade S Loi, B Haibe-Kains, C Desmedt, F Lallemand, AM Tutt, C Gillet, P Ellis, ... Journal of clinical oncology 25 (10), 1239, 2007 | 821 | 2007 |
| Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes C Desmedt, B Haibe-Kains, P Wirapati, M Buyse, D Larsimont, ... Clinical cancer research 14 (16), 5158-5165, 2008 | 766 | 2008 |
| TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data A Colaprico, TC Silva, C Olsen, L Garofano, C Cava, D Garolini, ... Nucleic acids research 44 (8), e71-e71, 2016 | 541 | 2016 |
| minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information PE Meyer, F Lafitte, G Bontempi BMC bioinformatics 9 (1), 461, 2008 | 452 | 2008 |
| Information-theoretic inference of large transcriptional regulatory networks PE Meyer, K Kontos, F Lafitte, G Bontempi EURASIP journal on bioinformatics and systems biology 2007, 1-9, 2007 | 421 | 2007 |
| Determinants of community structure in the global plankton interactome G Lima-Mendez, K Faust, N Henry, J Decelle, S Colin, F Carcillo, ... Science 348 (6237), 2015 | 405 | 2015 |
| Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen S Loi, B Haibe-Kains, C Desmedt, P Wirapati, F Lallemand, AM Tutt, ... BMC genomics 9 (1), 239, 2008 | 357 | 2008 |
| Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 292 | 1999 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition SB Taieb, G Bontempi, AF Atiya, A Sorjamaa Expert systems with applications 39 (8), 7067-7083, 2012 | 286 | 2012 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition SB Taieb, G Bontempi, AF Atiya, A Sorjamaa Expert systems with applications 39 (8), 7067-7083, 2012 | 286 | 2012 |
| A three-gene model to robustly identify breast cancer molecular subtypes B Haibe-Kains, C Desmedt, S Loi, AC Culhane, G Bontempi, ... Journal of the National Cancer Institute 104 (4), 311-325, 2012 | 272 | 2012 |
| Machine learning strategies for time series forecasting G Bontempi, SB Taieb, YA Le Borgne European business intelligence summer school, 62-77, 2012 | 253 | 2012 |
| Effect of 21 different nitrogen sources on global gene expression in the yeast Saccharomyces cerevisiae P Godard, A Urrestarazu, S Vissers, K Kontos, G Bontempi, J van Helden, ... Molecular and cellular biology 27 (8), 3065-3086, 2007 | 232 | 2007 |
| Learned lessons in credit card fraud detection from a practitioner perspective A Dal Pozzolo, O Caelen, YA Le Borgne, S Waterschoot, G Bontempi Expert systems with applications 41 (10), 4915-4928, 2014 | 223 | 2014 |
| Information-theoretic feature selection in microarray data using variable complementarity PE Meyer, C Schretter, G Bontempi IEEE Journal of Selected Topics in Signal Processing 2 (3), 261-274, 2008 | 212 | 2008 |
| Adaptive model selection for time series prediction in wireless sensor networks YA Le Borgne, S Santini, G Bontempi Signal Processing 87 (12), 3010-3020, 2007 | 197 | 2007 |
| Calibrating probability with undersampling for unbalanced classification A Dal Pozzolo, O Caelen, RA Johnson, G Bontempi 2015 IEEE Symposium Series on Computational Intelligence, 159-166, 2015 | 188 | 2015 |
| Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta‐analysis of individual participant data E Trépo, P Nahon, G Bontempi, L Valenti, E Falleti, HD Nischalke, ... Hepatology 59 (6), 2170-2177, 2014 | 180 | 2014 |
| Multifactorial approach to predicting resistance to anthracyclines C Desmedt, A Di Leo, E De Azambuja, D Larsimont, B Haibe-Kains, ... J Clin Oncol 29 (12), 1578-1586, 2011 | 174 | 2011 |
| A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? B Haibe-Kains, C Desmedt, C Sotiriou, G Bontempi Bioinformatics 24 (19), 2200-2208, 2008 | 173 | 2008 |
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
