Publications

2018

  1. R. L. Vicente, L. Spina, J.P.L. Gómez, S. Déjean, J-L Parrou and J-M François. Trehalose-6-phosphate promotes fermentation and glucose repression in Saccharomyces cerevisiae. Microbial Cell, 5(10), 2018, doi: 10.15698/mic2018.10.651.
  2. H. Duruflé, M. Selmani, P. Ranocha, E. Jamet, C. Dunand, S. Déjean. A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis, doi: https://doi.org/10.1101/35792. Preprint available on bioRxiv.
  3. S. Poirier, S. Déjean, O. Chapleur. Support media can steer methanogenesis in the presence of phenol through biotic and abiotic effects. Water Research, 140, 1 September 2018, 24-33, https://doi.org/10.1016/j.watres.2018.04.029
  4. A. Timotin, M. Cinato, F. Boal, S. Dejean, R. Anesia, O. Arnaut, F. Desmoulin, C. Lagente, J. Roncalli, H. Tronchere, and O. Kunduzova. Differential protein profiling as a potential multi-marker approach for obese patients with heart failure: A retrospective study. 21st may 2018. Scientific Reports. http://www.nature.com/articles/s41598-018-26118-9
  5. V. Barquissau, B. Léger, D. Beuzelin, F. Martins, E-Z.Amri, D.F. Pisani, W.H.M. Saris, A. Astrup, J-J. Maoret, J. Iacovoni, S. Déjean, C. Moro, N. Viguerie and D. Langin. Caloric Restriction and Diet-Induced Weight Loss Do Not Induce Browning of Human Subcutaneous Abdominal White Adipose Tissue in Obese Women and Men. Accepted in Cell Reports 22, 1079-1089, january 2018.

2017

  1. M. Schiavone, S. Déjean, M. Castex, N. Sieczkowski, E. DAGUE, J.-M. François. Integration of biochemical, biophysical and transcriptomics data for investigating the structural and nanomechanical properties of the yeast cell wal. Accepted in Frontiers in Microbiology, section Microbial Physiology and Metabolism.
  2. H.Duruflé, V. Hervé, P. Ranocha, T. Balliau, M. Zivy, J. Chourré, H. San Clemente, V. Burlat, C. Albenne, S. Déjean, E. Jamet, C. Dunand. Cell wall modifications of two Arabidopsis thaliana ecotypes, Col and Sha, in response to sub-optimal growth conditions: an integrative study. Plant science, Volume 263, October 2017, Pages 183-193.
  3. E. De Clara, M. Gourvest, H. Ma, F. Vergez, M. Tosolini, S. Dejean, C. Demur, E. Delabesse, C. Recher, C. Touriol, M. P. Martelli, B. Falini, P. Brousset, M. Bousquet. Long noncoding RNA expression profile in cytogenetically normal acute myeloid leukemia identifies a distinct signature and a new biomarker in NPM1-mutated patients. Haematologica July 2017 : haematol.2017.171645; doi:10.3324/haematol.2017.171645 (available online)
  4. A-G Chifu, S. Déjean, S. Mizzaro and J. Mothe. Human-Based Query Difficulty Prediction.   In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2017. Lecture Notes in Computer Science, vol 10193. Springer, Cham (available online)

2016

  1. L. Fontan, M. Fraval, A. Michon, S. Déjean, M. Welby-Gieusse. Vocal Problems in Sports and Fitness Instructors: A study of Prevalence, Risk Factors and Need for Prevention in France. Journal of Voice, doi: 10.1016/j.jvoice.2016.04.014. (available online)
  2. A. Bigot, S. Déjean, J. Mothe. Learning to Choose the Best System Conguration in Information Retrieval: the case of repeated queries. Journal of Universal Computer Science, 21(13), doi: 10.3217/jucs-021-13-1726. (available online)
  3. J. Ayter, A. Chifu, S. Déjean, C. Desclaux, J. Mothe. Statistical Analysis to Establish the Importance of Information Retrieval Parameters. Journal of Universal Computer Science, 21(13), doi: 10.3217/jucs-021-13-1767. (available online)
  4. B. Lerhe, S. Alshehri, D. Ferachon, S. Déjean, A. S. Salabert, R. Lopez. Tomographic osteometry of the zygomatic bone applied to traumatology of facial bones: Preliminary retrospective study of zygomatic summit in 28 patients. Journal of Cranio-Maxillo-Facial Surgery, doi: 10.1016/j.jcms.2016.10.010, to appear.

2015

  1. L. Ligat, N. Saint-Laurent, A. El-Mrani, V. Gigoux, T. Al Saati, R. Tomasini, J. Nigri, S. Déjean, F. Pont, R. Baer, J. Guillermet-Guibert, P. Cordelier, F. Lopez, M. Dufresne. Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models. British Journal of Cancer. 2015 Dec 1;113(11):1590-8. doi: 10.1038/bjc.2015.370. Epub 2015 Oct 29.
  2. S. Déjean, J. Mothe. Visual clustering for data analysis and graphical user interfaces. Dans / In : Handbook of Cluster Analysis. C. Hennig, M. Meila, F. Murtagh, R. Rocci (Eds.), Chapman & Hall, CRC Press, 2015.
  3. L. Laporte, S. Déjean, J. Mothe. Sélection de variables en apprentissage d’ordonnancement : évaluation des SVM pondérésDocument numérique, 18/1 – pp.97-121  – doi:10.3166/dn.18.1.97-121. (abstract online)
  4. L. Buscail, B. Bournet, F. Vernejoul, G. Cambios, H. Lulka, N. Hanoun, M. Dufresne, A. Meulle, A. Vignolle-Vidoni, L. Ligat, N. Saint-Laurent, F. Pont, S. Déjean, M. Gayral, F. Martins, J. Torrisani, O. Barbey, F. Gross, R. Guimbaud, P. Otal, F. Lopez, G. Tiraby, P. Cordelier – First-in-man phase I clinical trial of gene therapy for advanced pancreatic cancer: Safety, biodistribution and preliminary clinical findings. Molecular Therapy (14th January 2015) doi:10.1038/mt.2015.1.

2014

  1. E. Montastier, S. Déjean, C. Le Gall, W.H.M. Saris, D. Langin, N. Viguerie – Adipose Tissue CIDEA Is Associated, Independently of Weight Variation, to Change in Insulin Resistance during a Longitudinal Weight Control Dietary Program in Obese Individuals. PLoS ONE 9(7): e98707. doi: 10.1371/journal.pone.0098707, available online.
  2. A. Bigot, S. Déjean, J. Mothe – Choisir la meilleure configuration d’un système de recherche d’information. Document Numérique, Hermès Science, 17(2),  125-147 – doi:10.3166/dn.17.2.125-147.
  3. J. Lalande, H. Halley, S. Balayssac, V. Gilard, S. Déjean, R. Martino, B. Frances, J-M. Lassale, M. Malet-Martino – 1H NMR metabolomic signatures in five brain regions of the APPSwe Tg2576 mouse model of Alzheimer’s disease at four ages. Journal of Alzheimer’s Disease, 39, 121-143 DOI 10.3233/JAD-130023.

2013

  1. L. Laporte, R. Flamary, S. Canu, S. Déjean, J. Mothe – Non-convex Regularizations for Feature Selection in Ranking with Sparse SVM, IEEE Transactions on Neural Networks and Learning Systems, 1, 1  DOI : 10.1109/TNNLS.2013.2286696.
  2. S. Balayssac, S. Déjean, J. Lalande, V. Gilard, M. Malet-Martino – A toolbox to explore NMR metabolomic data sets using the R environment. Chemometrics and Intelligent Laboratory Systems, (2013) doi:10.1016/j.chemolab.2013.04.015, available online.
  3. I.González, A. Eveillard, C. Canlet, A. Paris, T. Pineau, P. Besse, P. Martin, S. Déjean – Selecting the good level of details in undecimated wavelet transform improves the classification of samples from metabolomic data. JP Journal of Biostatistics, 10(2):61-79.
  4. D. Valour, I. Hue, S.A. Degrelle, S. Déjean, G. Marot, O. Dubois, G. Germain, P. Humblot, A.A. Ponter, G. Charpigny, B. Grimard. Pre- and post-partum mild underfeeding influences gene expression in the reproductive tract of cyclic dairy cowsReproduction in Domestic Animals, 2013 Jun;48(3):484-99.

2012

  1. I. González, K-A. Lê Cao, M. Davis, S. Déjean – Visualising associations between paired ‘omics’ data sets. BioData Mining 2012 , 5:19, DOI: 10.1186/1756-0381-5-19, available online. highly-accessed
  2. L. Laporte, L. Candillier, S. Déjean and J. Mothe. Évaluation de la pertinence dans les moteurs de recherche géoréférencés. Actes de la conférence INFORSID 2012, Montpellier, 29-31/05/2012.
  3. D. Pennetier, J. Oyallon, I. Morin-Poulard, S. Dejean, A. Vincent, M. Crozatier. Size control of the Drosophila hematopoietic niche by bone morphogenetic protein signaling reveals parallels with mammals. Proceedings of the National Academy of Sciences of the USA,  doi:10.1073/pnas.1109407109, available online.
  4. F. Pont, J. Familiades, S. Déjean, S. Fruchon, D. Cendron, M. Poupot, R. Poupot, F. L’faqihi-Olive, N. Prade, B. Ycart, J.-J. Fournié. The gene expression profile of phosphoantigen-specific human γδ T lymphocytes is a blend of αβ T-cell and NK-cell signatures. European Journal of Immunology, 2012 Jan;42(1):228-40. doi: 10.1002/eji.201141870, available online.

2011

  1. S. Cohen, S. Déjean, S. Gadat (2011). Adaptive sequential design for regression on multi-resolution basis. Statistics and Computing, DOI: 10.1007/s11222-011-9267-7, available online.
  2. A. Baccini, S. Déjean, L. Lafage, J. Mothe (2011). How many performance measures to evaluate Information Retrieval Systems?  Knowledge and Information System, DOI 10.1007/s10115-011-0391-7, available online.
  3. J. Compaoré, A.M. Gueye, S. Déjean, J. Mothe, J. Randriamparany (2011). Mining Information Retrieval Results; Significant IR parameters. Proceedings of the The First International Conference on Advances in Information Mining and Management, IARIA.
  4. Y. Jiang, J. Vaysse, V. Gilard, S. Balayssac, S. Déjean, M. Malet-Martino, B. David, C. Fiorini and Yves Barbin (2011). Quality Assessment of Commercial Magnoliae Officinalis Cortex by 1H-NMR-based Metabolomics and HPLC Methods. Phytochemical Analysis, september 2011, DOI 10.1002/pca.1369, available online.

2010

  1. J-M. Azaïs, S. Déjean, J.R. Léon, F. Zwolska (2010). Transformed Gaussian stationary models for ocean waves.  Probabilistic Engineering Mechanics, 26(2), 342-349, DOI 10.1016/j/probengmech.2010.09.007, available online.
  2. C. Cierco-Ayrolles, S. Déjean, A. Legarra, H. Gilbert, T. Druet, F. Ytournel, D. Estivals, N. Ooumouhou, B. Mangin (2010).  Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigrees? Genetics Selection Evolution, 42:38, available online.
  3. A. Baccini, S. Déjean, D. Kompaoré, J. Mothe (2010).  Analyse des critères de performance de systèmes de recherche d’information. Technique et Science Informatiques, 29(3), 289-308.

2009

  1. K.-A. Lê Cao, I. González, S. Déjean (2009). *****Omics: an R package to unravel relationships between two omics data sets.  Bioinformatics, doi:10.1093/bioinformatics/btp515
  2. I. González, S. Déjean, P.G.P. Martin, O. Gonçalves, P. Besse, A. Baccini (2009).  Highlighting Relationships Between Heteregeneous Biological Data Through Graphical Displays Based On Regularized Canonical Correlation Analysis. Journal of Biological Systems, 17(2), 173-199.
  3. R.J. Michelland, S. Déjean, S. Combes, L. Cauquil (2009). STATFINGERPRINTS: a friendly graphical interface program for processing and analysis of microbial fingerprint profiles. Molecular Ecology Resources, 9(5), 1359-1363.

2008

  1. E. Yergeau, S.A. Schoondermark-Stolk, E.L. Brodie, S. Déjean, T.Z. DeSantis, O. Gonçalves, Y.M. Piceno, G.L. Andersen and G.A. Kowalchuk (2008). Environmental microarray analyses of Antarctic soil microbial communities.  The International Society for Microbial Ecology Journal, 3, 340-351.
  2. F. Capel, N. Viguerie, N. Vega, S. Déjean, P. Arner, E. Klimcakova, A. Martinez, W.H.M. Saris, C. Holst, M. Taylor, J.M. Oppert, T.I.A Sorensen, K. Clément, H. vidal, D. Langin (2008). Contribution of energy restriction and macronutrient composition to changes in adipose tissue gene expression during dietary weight-loss programs in obese women. The Journal of Clinical Endocrinology and Metabolism, 93(11):4315-22. Epub 2008 Sep 9.
  3. Tosser-Klopp G., Lê Cao K.-A., Bonnet A., Gobert N., Hatey F., Robert-Granié C., Déjean S., Antic J., Baschet L., San Cristobal M. (2008). A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal, doi:10.1017/S1751731108003479
  4. D. Larrouy, P. Barbe, C. Valle, S. Déjean, V. Pelloux, C. Thalamas, J-P. Bastard, A. Le Bouil, B. Diquet, K. Clément, D. Langin, N. Viguerie (2008). Gene expression profiling of human skeletal muscle in response to stabilized weight loss. The American Journal of Clinical Nutrition, 88(1), 125-132.
  5. A. Hassini, S. Dejean, N. Benabadji, N. Hassini, A.H. Belbachir (2008). Forest fires smoke monitoring from Sea-viewing Wide Field-of-view Sensor images. Optica Applicata, 38(4), 737-754.
  6. S. Combes, I. González, S. Déjean, A. Baccini, N. Jehl, H. Juin, L. Cauquil, B. Gabinaud, F. Lebas, C. Larzul (2008). Relationships between sensory and physicochemical measurements in meat of rabbit from three different breeding systems using canonical correlation analysis. Meat science, 80(3), 835-841.
  7. I. González, S. Déjean, P. Martin, A. Baccini (2008). CCA: An R Package to Extend Canonical Correlation Analysis. Journal of Statistical Software, vol. 23, issue 12, available online.

2007

  1. S. Déjean, P. Martin, A. Baccini, P. Besse (2007). Clustering time series gene expression data using smoothing spline derivatives. EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, article ID 70561, available online.
  2. P. Martin, H. Guillou, F. Lasserre, S. Déjean, A. Lan, J-M. Pascussi, M. San Cristobal, P. Legrand, P. Besse, T. Pineau (2007). Novel aspects of PPARalpha-mediated regulation of lipid and xenobiotic metabolism revealed through a nutrigenomic study. Hepatology, 45(3), 767-777
  3. A. Mazzucotelli, N. Viguerie, C. Tiraby, J-S. Annicotte, A. Mairal, E. Klimcakova, E. Lepin, P. Delmar, S. Déjean, G. Tavernier, C. Lefort, J. Hidalgo, T. Pineau, L. Fajas, K. Clément, D. Langin(2007). The Transcriptional Coactivator Peroxisome Proliferator-Activated Receptor (PPAR){gamma} Coactivator-1{alpha} and the Nuclear Receptor PPAR{alpha} Control the Expression of Glycerol Kinase and Metabolism Genes Independently of PPAR{gamma} Activation in Human White Adipocytes. Diabetes, vol 56, 2467-2475
  4. P. Sorensen, A. Bonnet, B. Buitenhuis, R. Closset, S. Déjean, C. Delmas, M. Duval, L. Glass, J. Hedegaard, H. Hornshoj, I.B. Hulsegge, F. Jaffrézic, K. Jensen, L. Jiang, D-J. de Koning, K-A Lê Cao, H. Niei, W. Petzl, M.H. Pool, C. Robert-Granié, M. San Cristobal, M. Sando Lund, E.M. van Schothorst, H-J. Schuberth, H-M. Seyfert, G. Tosser-Klopp, D. Waddington, M. Watson, W. Yang, H. Zerbe (2007). Analysis of the real EADGENE data set: Multivariate approaches and post analysis. Genetic Selection Evolution, 39, DOI: 10.1051/gse:2007030.
  5. F. Jaffrézic, D-J. de Koning, P.J. Boettcher, A. Bonnet, B. Buitenhuis, R. Closset, S. Déjean, C. Delmas, J.C. Detilleux, P. Dovc, M. Duval, J-L. Foulley, J. Hedegaard, H. Hornshøj, I.B. Hulsegge, L. Janss, K. Jensen, L. Jiang, M. Lavric, K-A. Lê Cao, M.S. Lund, Malinverni, G. Marot, H. Nie, W. Petzl, M.H. Pool, C. Robert-Granié, M. SanCristobal, E. M. van Schothorst, H-J. Schuberth, P. Sørensen, A. Stella, G. Tosser-Klopp, D. Waddington, M. Watson, W. Yang, H. Zerbe, H-M. Seyfert(2007). Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalization and selection of differentially expressed genes. Genetic Selection Evolution, 39

2006

  1. H. Laurell, M. Bouisson, P. Berthélemy, P. Rochaix, S. Déjean, P. Besse, C. Susini, L. Pradayrol, N. Vaysse, L. Buscail (2006). Identification of biomarkers of human pancreatic adenocarcinomas by expression profiling and validation by gene expression analysis in Endoscopic Ultrasound-guided Fine Needle Aspiration samples. World Journal of Gastroenterology, 12(21), 3344-3351.

2005

  1. S. Déjean, S. Cohen (2005). FracSim: An R package to Simulate Multifractional Lévy Motions.  Journal of Statistical Software, vol. 14, issue 18.
  2. A. Baccini, P. Besse, S. Déjean, P. Martin, C. Robert-Granié, M. San Cristobal (2005). Stratégies pour l’analyse statistique de données transcriptomiques. Journal de la Société Française De Statistique, 146(1-2), 5-44

2002

  1. S. Déjean, R. Faivre, M. Goulard (2002).  Modèle non linéaire à paramètres aléatoires de la dynamique de cultures observées par télédétection : comparaison de deux procédures d’estimation. Journal de la Société Française De Statistique, Vol. 143, No. 1-2

About the Author