benoit liquet
benoit liquet
Other namesBenoit Liquet-Weiland
professor in Statistics
Verified email at
Cited by
Cited by
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
ClustOfVar: An R package for the clustering of variables
M Chavent, V Kuentz, B Liquet, L Saracco
arXiv preprint arXiv:1112.0295, 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
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
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
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
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
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
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
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
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
The R software
PL de Micheaux, R Drouilhet, B Liquet
Fundamentals of Programming and Statistical Analysis, 978-1, 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
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
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
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
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
PCAmixdata: Multivariate analysis of mixed data
M Chavent, V Kuentz, A Labenne, B Liquet, J Saracco
R package version 3, 2017
Bayesian variable selection regression of multivariate responses for group data
B Liquet, K Mengersen, AN Pettitt, M Sutton
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
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