Florian Rohart

Toulouse

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2015
  • Multiple Hypotheses Testing For Variable Selection
    F. Rohart
    Accepted for publication in Australian & New Zealand Journal of Statistics. [arXiv:1106.3415, not up to date].

  • Dynamic approaches to forecasting infectious diseases with Google: improving accuracy of internet based surveillance systems.
    G. Milinovich, F. Rohart (co-first author), S. Avril,K-A. Le Caô, Sh Tong, W. Hu.
    Submitted.

  • A Molecular Classification of Human Mesenchymal Stromal Cells.
    F. Rohart, E. Mason, N. Matigian, R. Mosbergen, O. Korn, T. Chen, S. Butcher, J. Patel, K. Atkinson, K. Khosrotehrani, N. Fisk, K-A. Le Caô and C-A. Wells.
    Submitted.

  • Exploring transcriptomic diversity in muscle revealed that cellular signaling pathways mainly differentiate five Western porcine breeds.
    M. SanCristobal, F. Rohart , C. Lascor, M. Bouffaud, L. Trouilh, P. Martin, Y. Lippi, T. Tribout, T. Faraut, M.J. Mercat, D. Milan and L. Liaubet.
    BMC Genomics, 16:1055. DOI: 10.1186/s12864-015-2259-9 [link]

2014
  • Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm.
    F. Rohart, M. SanCristobal and B. Laurent.
    Computational Statistics & Data Analysis. DOI: 10.1016/j.csda.2014.06.022 [pdf] [link]

  • YuGene: a simple approach to scale gene expression data derived from different platforms for integrated analyses.
    K-A. Le Caô, F. Rohart (co-first author), L. McHugh, O. Korn and C-A. Wells.
    Genomics, 2014 Apr;103(4):239-51. [link]

2012
  • Phenotypic Prediction Based on Metabolomic Data on the Growing Pig from three main European Breeds.
    F. Rohart, A. Paris, B. Laurent, C. Canlet, J. Molina, M.J. Mercat, T. Tribout, N. Muller, N. Iannucelli, N. Villa-Vialaneix, L. Liaubet, D. Milan and M. SanCristobal.
    Journal of Animal Science 2012 Dec;90(13):4729-40.

Packages
  • mixOmics (Exploration and Integration of 'Omics datasets). K-A. Le Caô, I. González, S. Déjean, F. Rohart, B. Gautier, F. Bartolo, and others
    mixOmics is a R-package available on CRAN. See mixomics.org for a full description of this package.

  • mht (multiple hypotheses testing). F. Rohart
    mht is a R-package available on CRAN (based on the paper `Multiple Hypotheses Testing For Variable Selection'). The main function is mht, two-steps procedure that performs variable selection in high dimensional linear models. Other functions are also available.

  • MMS (Mixed Models Selection). F. Rohart
    MMS is a R-package available on CRAN (based on the paper `Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm'). The main functions are mhtp and lassop, performing fixed effects selection in high dimensional linear mixed models. Other functions are also available.

  • YuGene. F. Rohart, K-A. Le Caô, L. McHugh, O. Korn and C-A Wells
    YuGene is a R-package available on CRAN (based on the paper `YuGene: a simple approach to scale gene expression data derived from different platforms for integrated analyses'). The main function is YuGene, cross-platform normalization method. Other functions are also available.


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