| Estimation of extended mixed models using latent classes and latent processes: the R package lcmm C Proust-Lima, V Philipps, B Liquet arXiv preprint arXiv:1503.00890, 2015 | 821 | 2015 |
| ClustOfVar: An R package for the clustering of variables M Chavent, V Kuentz, B Liquet, L Saracco arXiv preprint arXiv:1112.0295, 2011 | 346 | 2011 |
| Deciphering the complex: methodological overview of statistical models to derive OMICS‐based biomarkers M Chadeau‐Hyam, G Campanella, T Jombart, L Bottolo, L Portengen, ... Environmental and molecular mutagenesis 54 (7), 542-557, 2013 | 145 | 2013 |
| A novel approach for biomarker selection and the integration of repeated measures experiments from two assays B Liquet, KAL Cao, H Hocini, R Thiébaut BMC bioinformatics 13, 1-14, 2012 | 142 | 2012 |
| Handling missing values with regularized iterative multiple correspondence analysis J Josse, M Chavent, B Liquet, F Husson Journal of classification 29 (1), 91-116, 2012 | 141 | 2012 |
| Breast cancer risk, nightwork, and circadian clock gene polymorphisms T Truong, B Liquet, F Menegaux, S Plancoulaine, P Laurent-Puig, C Mulot, ... Endocrine-related cancer 21 (4), 629-638, 2014 | 138 | 2014 |
| mixOmics: omics data integration project KA Le Cao, F Rohart, I Gonzalez, S Dejean, B Gautier, F Bartolo, ... R package version 6 (1), 1, 2016 | 117 | 2016 |
| Using Random forest and Gradient boosting trees to improve wave forecast at a specific location A Callens, D Morichon, S Abadie, M Delpey, B Liquet Applied Ocean Research 104, 102339, 2020 | 107 | 2020 |
| Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis R Kawahara, A Chernykh, K Alagesan, M Bern, W Cao, RJ Chalkley, ... Nature methods 18 (11), 1304-1316, 2021 | 103 | 2021 |
| Choice between semi‐parametric estimators of Markov and non‐Markov multi‐state models from coarsened observations D Commenges, P Joly, A Gégout‐Petit, B Liquet Scandinavian Journal of Statistics 34 (1), 33-52, 2007 | 85 | 2007 |
| Group and sparse group partial least square approaches applied in genomics context B Liquet, PL De Micheaux, BP Hejblum, R Thiébaut Bioinformatics 32 (1), 35-42, 2016 | 75 | 2016 |
| The R software PL de Micheaux, R Drouilhet, B Liquet Fundamentals of Programming and Statistical Analysis, 978-1, 2013 | 73 | 2013 |
| Investigating trial and treatment heterogeneity in an individual patient data meta‐analysis of survival data by means of the penalized maximum likelihood approach V Rondeau, S Michiels, B Liquet, JP Pignon Statistics in medicine 27 (11), 1894-1910, 2008 | 70 | 2008 |
| Forecasting intensifying disturbance effects on coral reefs J Vercelloni, B Liquet, EV Kennedy, M González‐Rivero, MJ Caley, ... Global change biology 26 (5), 2785-2797, 2020 | 68 | 2020 |
| GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm L Bottolo, M Chadeau-Hyam, DI Hastie, T Zeller, B Liquet, P Newcombe, ... PLoS genetics 9 (8), e1003657, 2013 | 67 | 2013 |
| lcmm: Extended mixed models using latent classes and latent processes C Proust-Lima, V Philipps, A Diakite, B Liquet R package version 1 (7), 2017 | 54 | 2017 |
| Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat T Cenier, C Amat, P Litaudon, S Garcia, P Lafaye de Micheaux, B Liquet, ... European Journal of Neuroscience 27 (6), 1432-1440, 2008 | 52 | 2008 |
| PCAmixdata: Multivariate analysis of mixed data M Chavent, V Kuentz, A Labenne, B Liquet, J Saracco R package version 3, 2017 | 48 | 2017 |
| Bayesian variable selection regression of multivariate responses for group data B Liquet, K Mengersen, AN Pettitt, M Sutton | 47 | 2017 |
| Investigating hospital heterogeneity with a multi-state frailty model: application to nosocomial pneumonia disease in intensive care units B Liquet, JF Timsit, V Rondeau BMC medical research methodology 12, 1-14, 2012 | 47 | 2012 |
