Publications

  • Mondet, F., Rau, A., Klopp, C., Rohmer, M. Severac, D., Le Conte, Y., and Alaux, C.(2018). Transcriptome profiling of the honeybee parasite Varroa destructor provides new biological insights into the mite adult life cycle. BMC Genomics, 19(1):328.
  • Celeux, G., Maugis-Rabusseau, C. and Sedki, M. (2018). Variable selection in model-based clustering and discriminant analysis with regularization approach. Accepted in Advances in Data Analysis and Classification.
    [Hal-01053784]
  • Godichon-Baggioni, A., Maugis-Rabusseau, C. and Rau, A. (2019) Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data. Journal of Applied Statistics, 46, 47-65.
    [arXiv:1704.06150] [Hal-01511574]
  • Sauvage, C., Rau, A., Aichholz, C., Chadoeuf, J., Sarah, G., Ruiz, M., Santoni, S., Causse, M., David, J., Glémin, S. (2017)
    Domestication rewired gene expression and nucleotide diversity patterns in tomato. The Plant Journal, 91(4):631-645.
  • Laurent, B. , Marteau, C. and Maugis-Rabusseau, C. (2017).
    Multidimensional two-component Gaussian mixtures detection. Annales de l’IHP (série B), 54(2), 842-865.
    [arXiv:1509.09129] [Hal-01207072]
  • Rau, A. & Maugis-Rabusseau, C. (2018) Transformation and model choice for RNA-seq co-expression analysis. Briefings in Bioinformatics, 19(3), 65-76.
    [bioRxiv, doi: http://dx.doi.org/10.1101/065607]
  • Gadat, S. & Kahn, J. & Marteau, C. & Maugis-Rabusseau, C. Parameter recovery in two-component contamination mixtures: the L2 strategy (2016) Submitted.[arXiv:1604.00306]
  • G. Rigaill, S. Balzergue, V. Brunaud, E. Blondet, A. Rau, O. Rogier, J. Caius, C. Maugis-Rabusseau, L. Soubigou-Taconnat, S. Aubourg, C. Lurin, M.-L. Martin-Magniette and E. Delannoy(2016) Synthetic datasets for the identification of key ingredients for RNA-seq differential analysis. Briefings in bioinformatics, 19(1), 65-76.
  • C. Biernacki & C. Maugis-Rabusseau. Chapitre 9 : « High-dimensional clustering ». Model choice and Model aggregation, sous la direction de F.BERTRAND, J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition Technip. Septembre 2017.
  • Martin-Magniette, M.-L., Maugis-Rabusseau, C. and Rau, A. Chapitre 10 : « Clustering of co-expressed genes ». Model choice and Model aggregation, sous la direction de F. BERTRAND, J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition Technip. Septembre 2017.
  • Rau, A., Maugis-Rabusseau, C. , Martin-Magniette, M.-L. and Celeux, G. (2015).
    Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinformatics, 31 (9), 1420-1427.
     [Hal-INRIA, RR-7786]            [R package HTSCluster].
  • Laurent, B., Marteau, C. and Maugis-Rabusseau, C. (2016). Non asymptotic detection of two component mixtures with unknown means. Bernoulli, Volume 22, Number 1, 242-274.
    [arXiv:1304.6924]