Publications
Four functional
profiles for fibre and mucin metabolism in the human gut
microbiome, Labarthe, S., Plancade, S., Raguideau, S. et al.,
Microbiome (2023)
A
successive time-to-event model of phyllochron dynamics for
hypothesis testing: application to the analysis of genetic and
environmental effects in maize , S. Plancade, E. Marchadier,
S. Huet, A. Ressayre, C. Noûs, C. Dillmann, Plant Methods (2023)
A combined test for
feature selection on sparse metaproteomics data—an
alternative to missing value imputation, S. Plancade*,
M. Berland*, M. Blein-Nicolas, O. Langella, A. Bassignani, C.
Juste, PeerJ (2022)
New genetic biomarkers to
differentiate non-pathogenic from clinically relevant Bacillus
cereus strains, (2021), Kavanaugh DW, Glasset B, Dervyn R,
Guérin C, Plancade S,
Herbin S, Brisabois A, Nicolas P, Ramarao N. , Clin Microbiol
Infect.
Benefits of Iterative Searches of
Large Databases to Interpret Large Human Gut Metaproteomic
Data Sets, (2021) Bassignani A, Plancade S,
Berland M, Blein-Nicolas M, Guillot A, Chevret D, Moritz C,
Huet S, Rizkalla S, Clément K, Doré J, Langella O, Juste
C, J Proteome Res, 20(3):1522-1534.
Unraveling
the effects of the gut microbiota composition and function on
horse endurance physiology, (2019) Plancade S, Clark A,
Philippe C, Helbling JC, Moisan MP, Esquerré D, Le Moyec L,
Robert C, Barrey E, Mach N, , Sci Rep, 9(1):9620.
Lactobacillus
paracasei CNCM I-3689 reduces vancomycin-resistant Enterococcus
persistence and promotes Bacteroidetes resilience in the gut
following antibiotic challenge, (2018) R Crouzet, L.,
Derrien, M., Cherbuy, C., Plancade, S., Foulon,M., Chalin,
B., van Hylckama Vlieg, J.E.T., Grompone, G., Rigottier-Gois,
Serror, P., Scientific Reports, 8(1)
Inferring Aggregated Functional Traits
from Metagenomic Data Using Constrained Non-Negative Matrix
Factorization: Application to Fiber Degradation in the Human Gut
Microbiota, (2016) Raguideau, S, Plancade, S, Pons,
N., Leclerc, M. Laroche, B. PLOS Comput. Bio.
A new statistical method
for curve group analysis of longitudinal geneexpression data
illustrated for breast cancer in the NOWAC postgenome cohort as
a proof of principle. Lund, E., Holden, L., Bøvelstad, H., Plancade,
S., Mode, N., Günther, C.-C., Nuel, G., Thalabard, J.-C.,
Holden, M. (2016). BMC Medical Research Methodology, 16.
Integrated mRNA and miRNA expression
profiling in blood reveals candidate biomarkers associated with
endurance exercise in the horse, Mach, N., Plancade, S.,
Pacholewska, A., Lecardonnel, J., Rivière, J., Moroldo, M.,
Vaiman, A., Morgenthaler, C., Beinat, M., Névot, A., Robert, C.,
Barrey, E. (2016). Scientific Reports.
A generic
methodological framework for studying single cell motility in
high-throughput time-lapse data, Schoenauer Sebag A.,
Plancade S., Raulet-Tomkiewicz C., Barouki R., Vert J.P.,
Walter, T. (2015) BioInfo, i320-i328.
A processual model for
functional analyses of carcinogenesis in the prospective cohort
design, Lund E.*, Plancade S.*, Nuel G., Bovelstad
H. and Thalabard J.C.
Adapative estimation of the
conditional distribution function from current status data,
Plancade, S. (2013), J. Statist. Plann. Inference, vol 143,
p 1466-1485.
Generalization of the normal-exponential
model: exploration of a more accurate parametrisation for the
signal distribution on Illumina BeadArrays, Plancade, S.,
Rozenholc, Y., Lund, E. (2012), BMC Bioinfo, vol 13 (329)
Transcriptional output in a
prospective design conditionally on follow-up and exposure -the
multistage model of cancer, Lund, E. and Plancade, S. (2012),
Int. J. Mol. Epidemiol. Genet., vol 3 (2), p 107-114
Guidelines for controlled trials of
drugs in migraine: Third edition. A guide for inverstigators,
Internation Headache Society Clinical Trials Subcommittee members:
Tfelt-Hansen, P. et al (2011), Cephalgia, vol 32 (1), p 6-38.
Nonparametric estimation of hazard rate
in presence of censoring, Plancade, S (2010),
Metrika, vol 74, p 313-347.
Estimation of the density of regression errors
by pointwise model selection, Plancade, S (2009),
Math. Methods Statist., vol 18 (4), p 341-374.
Nonparametric estimation of the density
of the regression noise, Plancade S (2008), C. R.
Acad. Sci., vol 346 (7-8), p 461-466.
PhD manuscript