Publications

2024

[Année : 9 / Total : 96

  1. Veshkini A, Hammon HM, Vogel L, Viala D, Delosière M, Tröscher A, Déjean S, Ceciliani F, Sauerwein H, Bonnet M. The skimmed milk proteome of dairy cows is affected by the stage of lactation and by supplementation with polyunsaturated fatty acids. Sci Rep. 2024 Oct 14;14(1):23990. doi: 10.1038/s41598-024-74978-1.
  2. Blanchard, T., Mugnier, A., Déjean, S. et al. Exploring frailty in apparently healthy senior dogs: a cross-sectional study. BMC Vet Res 20, 436 (2024). doi.org/10.1186/s12917-024-04296-1
  3. G. Ávila, M. Bonnet, D. Viala, S. Dejean, G. Grilli, C. Lecchi, F. Ceciliani, Citrus Pectin modulates Chicken Peripheral Blood Mononuclear Cell (PBMC) Proteome in vitro, Poultry Science, 2024 doi.org/10.1016/j.psj.2024.104293
  4. E.A. Mimoun, S. Dejean, M. de Chivré, A. Salis, F. Callens, S. Chouiba, T. Inizan, C.S. Decauville, C. Gauthier-Lafaye. EPPOC (Écrans en pédopsychiatrie en Occitanie au temps du COVID) : enquête en juillet 2020 sur l’utilisation des écrans chez les enfants suivis en pédopsychiatrie en Occitanie avant et pendant confinement (17 mars au 11 mai) : résultats du volet adolescents,
    Neuropsychiatrie de l’Enfance et de l’Adolescence, 2024, doi.org/10.1016/j.neurenf.2024.07.005
  5. Ávila G, Ceciliani F, Viala D, Dejean S, Sala G, Lecchi C, Bonnet M. Conjugated linoleic acid (CLA) modulates bovine peripheral blood mononuclear cells (PBMC) proteome in vitro. J Proteomics. 2024 Jun 21:105232. doi: 10.1016/j.jprot.2024.105232.
  6. J. Marquet-Doleac, M. Biotteau, M. Tardy, M. Broquere, E. Marizy, N. Faure-Marie, N. Lafin, S. Dejean & Y. Chaix (2024) PENDAH program for parents with children with attention deficit hyperactivity disorder. French adaptation of a behavioral parent training group: pilot study, Child Neuropsychology, DOI: 10.1080/09297049.2024.2326246
  7. Mélanie Lavoignat, Angéla Juhász, Utpal Bose, Thierry Sayd, Christophe Chambon, Miguel Ribeiro, Gilberto Igrejas, Sébastien Déjean, Catherine Ravel, Emmanuelle Bancel (2024). Peptidomics analysis of in vitro digested wheat breads: Effect of genotype and environment on protein digestibility and release of celiac disease and wheat allergy related epitopes, Food Chemistry, Volume 448,
    2024, 139148, doi.org/10.1016/j.foodchem.2024.139148
  8. Mardoc, E., Sow, M.D., Déjean, S., Salse, J.. Genomic data integration tutorial, a plant case study. BMC Genomics 25, 66 (2024). https://doi.org/10.1186/s12864-023-09833-0
  9. Auer, E., Lazuka, A., Huguenin-Bizot, B. Jehmlich, N. Déjean, S., Lombard, V., Henrissat, B., O’Donohue, M., Hernandez-Raquet, G.. Horizontal metaproteomics and CAZymes analysis of lignocellulolytic microbial consortia selectively enriched from cow rumen and termite gut. ISME COMMUN. 3, 134 (2023). https://doi.org/10.1038/s43705-023-00339-0

2023

[Année : 7 / Total : 87]

  1. Maigné, É., Noirot, C., Henry, J. et al. Asterics: a simple tool for the ExploRation and Integration of omiCS data. BMC Bioinformatics 24, 391 (2023). https://doi.org/10.1186/s12859-023-05504-9
  2. M. Briscik, M.-A. Dillies, S. Déjean. Improvement of variables interpretability in kernel PCA, BMC Bioinformatics, 24, Article number: 282 (2023), https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-023-05404-y
  3. V. Potier, S. Déjean, N. Yassine-Diab. De l’utilité de pratiques futiles – Les pratiques interstitielles du jeu vidéo dans l’activité quotidienne. Terrains & Travaux, 2023/1 (N° 42), pages 187 à 210, https://www.cairn.info/revue-terrains-et-travaux-2023-1-page-187.htm.
  4. N. Hubers, F.A. Hagenbeek, R. Pool, S. Déjean, A.C. Harms, P.J. Roetman, C.E. M. van Beijsterveldt, V. Fanos, E.A. Ehli, R.R.J.M. Vermeiren, M. Bartels, J. Jan Hottenga1, T. Hankemeier, J. van Dongen, D.I. Boomsma, Integrative multi-omics analysis of genomic, epigenomic, and metabolomics data leads to new insights for Attention-Deficit/Hyperactivity Disorder, Neuropsychiatric Genetics, http://doi.org/10.1002/ajmg.b.32955.
  5. Hélissen, O.; Kermorgant, M.; Déjean, S.; Mercadie, A.; Le Gonidec, S.; Zahreddine, R.; Calise, D.; Nasr, N.; Galès, C.; Arvanitis, D.N.; Pavy-Le Traon, A. Autonomic Nervous System Adaptation and Circadian Rhythm Disturbances of the Cardiovascular System in a Ground-Based Murine Model of Spaceflight. Life 2023, 13, 844. https://doi.org/10.3390/life13030844
  6. C. Garcia, S. Dejean, N. Savy, J.-C. Bordet, J. Series, S. Cadot, A. Ribes, S. Voisin, L. Rugeri, B. Payrastre, P. Sié. Multicolor flow cytometry in clinical samples for platelet signaling assessment. Research and Practice in Thrombosis and Haemostasis, vol 7(4), 2023, doi.org/10.1016/j.rpth.2023.100180
  7. Duruflé, H., Déjean, S. (2023). Multi-omics Data Integration in the Context of Plant Abiotic Stress Signaling. In: Couée, I. (eds) Plant Abiotic Stress Signaling. Methods in Molecular Biology, vol 2642. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3044-0_16

2022

[Année : 8 / Total : 80]

  1. Fiona Hagenbeek, Jenny van Dongen, René Pool, Peter Roetman, Amy Harms, Jouke Jan Hottenga, Cornelis Kluft, Olivier F. Colins, Catharina E. M. van Beijsterveldt, Vassilios Fanos, Erik A. Ehli, Thomas Hankemeier, Robert R. J. M. Vermeiren,  Meike Bartels, Sébastien Déjean, · Dorret I. Boomsma. Integrative Multi-omics Analysis of Childhood Aggressive Behavior. Behavior Genetics, Springer Verlag, 2022, doi.org/10.1007/s10519-022-10126-7
  2. S. Déjean, K-A Lê Cao. Modèles multivariés pour l’intégration de données et la sélection de biomarqueurs dans les données omiques. In  ‘Intégration de données biologiques – Approches informatiques et statistiques’ (2022). C. Froidevaux, M-L Martin-Magniette, G. Rigaill (editors), ISTE éditions, DOI : 10.51926/ISTE.9030.ch7
  3. G. Vitry, R. Finch, G. Mcstay, A. Behesti, S. Déjean, T. Larose, V. Wotring, W. Abraham da Silveira
    Muscle atrophy phenotype gene expression during spaceflight is linked to a metabolic crosstalk in both the liver and the muscle in mice, iScience, https://doi.org/10.1016/j.isci.2022.105213.
  4. M. Lavoignat, S. Denis, A. Faye, L. Halupka, S. Perrochon, L. Rhazi, . Giraudeau, S. Déjean, G. Branlard, E. Bancel, C. Ravel. Differences in bread protein digestibility traced to wheat cultivar traits. Journal of Cereal Science, Volume 107, 2022, 103533, ISSN 0733-5210,doi.org/10.1016/j.jcs.2022.103533.
  5. Veshkini, A., Hammon, H.M., Vogel, L. Viala, D., Delosière, M.,  Tröscher, A., Déjean, S., Ceciliani, F., Sauerwein, H., Bonnet, M. Plasma proteomics reveals crosstalk between lipid metabolism and immunity in dairy cows receiving essential fatty acids and conjugated linoleic acid. Sci Rep 12, 5648 (2022). https://doi.org/10.1038/s41598-022-09437-w
  6.  Z. Welham, S. Déjean S, K.-A. Lê Cao. Multivariate analysis with the R package mixOmics. In ‘Statistical Analysis of Proteomic Data: Methods and Tools’ (2022). Burger T (editor). Springer US, 10.1007/978-1-0716-1967-4
  7. A. Veshkini, H. M. Hammon, L. Vogel, M. Delosière, D. Viala, S. Dèjean, A. Tröscher, F. Ceciliani, H. Sauerwein, M. Bonnet, Liver proteome profiling in dairy cows during the transition from gestation to lactation: effects of supplementation with essential fatty acids and conjugated linoleic acids as explored by PLS-DA, J. Proteomics (2022), doi.org/10.1016/j.jprot.2021.104436.
  8. A. Veshkini, H.M. Hammon, H. Sauerwein, A. Tröscher, D. Viala, M. Delosière, F. Ceciliani, S. Déjean, M. Bonnet. Longitudinal liver proteome profiling in dairy cows during the transition from gestation to lactation: Investigating metabolic adaptations and their interactions with fatty acids supplementation via repeated measurements ANOVA-simultaneous component analysis. J Proteomics. 2021 Nov 22;252:104435. doi: 10.1016/j.jprot.2021.104435.

2021

[Année : 4 / Total : 72]

  1. F. Gava, J. Pignolet, S. Déjean, O. Mondésert, R. Morin, J. Agossa, B. Ducommun, V. Lobjois. Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering. Cancers 2021, 13, 5840. doi.org/10.3390/cancers13225840
  2. C. Daugrois, C. Bessiere, S. Dejean, V. Leberre, T. Commes, S. Pyronnet, P. Brousset,
    E. Espinos, L. Brugiere, F. Meggetto, L. Lamant. Gene expression signature associated with clinical outcome in ALK-positive Anaplastic Large Cell Lymphoma.  Cancers 2021, 13, 5523. doi.org/10.3390/cancers13215523
  3. D. Payros, H. Alonso, W. Malaga, A. Volle, S. Mazère, S. Déjean, S. Valière, F. Moreau, S. Balor, A. Stella, L. Combes-Soia, O. Burlet-Schiltz, O. Bouchez, J. Nigou, C. Astarie Dequeker and C. Guilhot. Rv0180c contributes to Mycobacterium  tuberculosis cell shape and to infectivity in mice and macrophages.  PLOS Pathogens. November 1, 2021, 10.1371/journal.ppat.1010020
  4. H. Mayeur, M. Lanoizelet, A. Quillien, A. Menuet, L. Michel, K.J. Martin, S. Dejean, P. Blader, S. Mazan,  R. Lagadec, When bigger is better: 3D RNA profiling of the developing head in the catshark Scyliorhinus canicula, Front. Cell Dev. Biol. – Evolutionary Developmental Biology, 2021 Oct 22;9:744982. doi: 10.3389/fcell.2021.744982

2020

[Année : 8 / Total : 68]

  1. 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, Briefings in Bioinformatics, bbaa166, https://doi.org/10.1093/bib/bbaa166
  2. H.Duruflé, P. Ranocha, T. Balliau, M. Zivy, C. Albenne, V. burlat, S. Déjean, E. Jamet, C. Dunand, An Integrative Study Showing the Adaptation to Sub-Optimal Growth Conditions of Natural Populations of Arabidopsis thaliana: A Focus on Cell Wall Changes. Cells, doi:10.3390/cells9102249
  3.  N.Wu, S. Balayssac, G. Assemat, S. Danoun, S. Dejean, M. Malet-Martino, V.Gilard. Evaluation of low-field versus high-field proton NMR spectroscopy for quality control of cinnamon samples, Journal of Food Composition and Analysis, https://doi.org/10.1016/j.jfca.2020.103706.
  4. S. Poirier, S. Déjean, C. Midoux, K.-A. Lê Cao, O. Chapleur, Integrating independent microbial studies to build predictive models of anaerobic digestion inhibition by ammonia and phenol, Bioresource Technology, Volume 316, 2020, https://doi.org/10.1016/j.biortech.2020.123952.
  5. D. Carper, M. Coué, E. B.M. Nascimento, V. Barquissau, D. Lagarde, C. Pestourie, C. Laurens, J. Vily Petit, M. Soty, L. Monbrun, M.-A. Marques, Y. Jeanson, Y. Sainte-Marie, A. Mairal, S. Déjean, G. Tavernier, N. Viguerie, V. Bourlier, F. Lezoualc’h, A. Carrière, W. H.M. Saris, A. Astrup, L. Casteilla, G. Mithieux, W. van Marken Lichtenbelt, D. Langin , P. Schrauwen, C. Moro. Atrial Natriuretic Peptide Orchestrates a Coordinated Physiological Response to Fuel Non-shivering Thermogenesis. Cell Reports 32(8), august 2020, 10.1016/j.celrep.2020.108075.
  6. Hagenbeek Fiona A., Roetman Peter J., Pool René, Kluft Cornelis, Harms Amy C., van Dongen Jenny, Colins Olivier F., Talens Simone, van Beijsterveldt Catharina E. M., Vandenbosch Marjolein M. L. J. Z., de Zeeuw Eveline L., Déjean Sébastien, Fanos Vassilios, Ehli Erik A., Davies Gareth E., Hottenga Jouke Jan, Hankemeier Thomas, Bartels Meike, Vermeiren Robert R. J. M., Boomsma Dorret I. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Frontiers in Psychiatry, 11, doi 10.3389/fpsyt.2020.00165.
  7. L. Jouneau, D. Lefebvre, F. Costa, A. Romey, S. Blaise-Boisseau, A. Relmy, Y. Jaszczyszyn, C. Dard-Dascot, S. Dejean, N. Versillé, E. Guitton, P. Hudelet, M. Curet, K. De Clercq, L. Bakkali-Kassimi, S. Zientara, B. Klonjkowski,  I. Schwartz-Cornil. The antibody response induced FMDV vaccines in sheep correlates with early transcriptomic responses in blood. npj Vaccines, 5, 1 (2020) https://doi.org/10.1038/s41541-019-0151-3
  8. M. Biotteau, S. Déjean, S. Lelong, S. Iannuzzi, N. Faure-Marie, P. Castelnau, F. Rivier, V. Lauwers-Cancès, Eloïse Baudou, Y. Chaix. Sporadic and Familial Variants in NF1: An Explanation of the Wide Variability in Neurocognitive Phenotype? Frontiers in Neurology, section Pediatric Neurology, 11, 2020, https://www.frontiersin.org/article/10.3389/fneur.2020.00368

2019

[Année : 4 / Total : 60]

  1. A. Llanos, S. Déjean, V. Neugnot-Roux, J.-M. François, J.-L.Parrou. Carbon sources and XlnR-dependent transcriptional landscape of CAZymes in the industrial fungus Talaromyces versatilis: when exception seems to be the rule. Microbial Cell Factories. 2019;18(1):14. Published 2019 Jan 28. doi:10.1186/s12934-019-1062-8
  2. S. Déjean, R.T. Ionecu, J. Mothe, M.Z. Ullah. Forward and Backward Feature Selection for Query Performance Prediction. SAC 2020. dl.acm.org/doi/10.1145/3341105.3373904
  3. E. Bancel, T. Bonnot, M. Davanture, D. Alavarez, M. Zivy, P. Martres, S. Déjean, C. Ravel. Proteomic data integration highlights central actors involved in einkorn (Triticum monococcum ssp. monococcum) grain filling in relation to grain storage protein composition. Frontiers Plant Science 10:832. doi: 10.3389/fpls.2019.00832
  4. H. Duruflé, P. Ranocha, D. Lacour Mbadinga Mbadinga, S. Dejean, M. Bonhomme, H. San Clemente, V. Hinoux, J. Sáez-Vásquez, J.-P. Reichheld, N. Escaravage, M. Burrus, C. Dunand. Phenotypic Trait Variation as a Response to Altitude-Related Constraints in Arabidopsis Populations. Frontiers Plant Science 10:430. doi: 10.3389/fpls.2019.00430.

2018

[Année : 6 / Total : 56]

  1. C. Madigou, K-A. Le Cao, C. Bureau, L. Mazéas, S. Déjean, O. Chapleur. Ecological consequences of abrupt temperature changes in anaerobic digesters. Chemical Engineering Journal, december 2018, doi.org/10.1016/j.cej.2018.12.003
  2. 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.
  3. 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.
  4. 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
  5. 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
  6. 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. Cell Reports 22, 1079-1089, january 2018.

2017

[Année : 4 / Total : 50]

  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 wall.  Frontiers in Microbiology, section Microbial Physiology and Metabolism, 8:1806.
  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

[Année : 4 / Total : 46]

  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

[Année : 4 / Total : 42]

  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 pondérés.  Document 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

[Année : 3 / Total : 37]

  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

[Année : 4 / Total : 34]

  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 cows. Reproduction in Domestic Animals, 2013 Jun;48(3):484-99.

2012

[Année : 4 / Total : 30]

  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

[Année : 4 / Total : 26]

  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

[Année : 3 / Total : 22]

  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

[Année : 3 / Total : 19]

  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

[Année : 7 / Total : 16]

  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

[Année : 5 / Total : 9]

  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

[Année : 1 / Total : 4]

  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

[Année : 2 / Total : 3]

  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

[Année : 1 / Total : 1]

  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