• Sequential decision making for a class of hidden Markov processes, application to medical treatment optimisation, Alice Cleynen and Benoîte de Saporta, arXiv :2112.09408
  • Medical follow-up optimization: A Monte-Carlo planning strategy, de Saporta arXiv:2401.03972
  • Unsupervized identification of prognostic copy-number alterations using segmentation and lasso regularization, Cleynen
  • [3] Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data:  Algorithms for Molecular Biology Cleynen A., Koskas M., Lebarbier E., Rigaill G., Robin S. 2014 [pdf]
  • [2] Fast estimation of the Integrated Completed Likelihood criterion for change-point detection problems with applications to Next-Generation Sequencing data: Signal Processing,  Cleynen A., Luong T.M., Rigaill G., Nuel G. 2013 [pdf]
  • [1] Comparing Segmentation Methods for Genome Annotation Based on RNA-Seq Data: Journal of Agricultural, Biological, and Environmental Statistics, Cleynen, A., Dudoit, S., Robin, S.  2013 [pdf]
  • My PhD manuscript (in English) can be downloaded here
  • Un résumé de ma thèse (en français) peut être téléchargé ici