Publications by authors named "J Loubes"

Article Synopsis
  • * Advanced statistical techniques were applied to analyze liver samples, revealing that a large proportion of early-stage fibrosis taxa belonged to families like Enterobacteriaceae and Pseudomonadaceae, while specific microbial pathways were linked to different fibrosis scores.
  • * The findings suggest that bacteria may contribute to fibrosis progression, particularly in its early stages, and highlight the effectiveness of improved statistical methods to analyze microbiota data despite varying sample sizes and origins.
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Advanced shape analysis studies such as regression and classification need to be performed on curved manifolds, where often, there is a lack of standard statistical formulations. To overcome these limitations, we introduce a novel machine-learning method on the shape space of curves that avoids direct inference on infinite-dimensional spaces and instead performs Bayesian inference with spherical Gaussian processes decomposition. As an application, we study the shape of the cochlear spiral-shaped cavity within the petrous part of the temporal bone.

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The SARS-CoV-2 virus has spread world-wide since December 2019, killing more than 2.9 million of people. We have adapted a statistical model from the SIR epidemiological models to predict the spread of SARS-CoV-2 in France.

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Article Synopsis
  • SARS-CoV-2 and COVID-19 have resulted in over 2.6 million deaths by March 2021, prompting studies on the virus's spread.
  • A modified SIR epidemiological model was used to forecast the virus's spread in France, impacted by different variants and public health strategies, including vaccinations.
  • The B.1.1.7 variant significantly increased in Toulouse, but testing rates didn't rise, indicating that ongoing public health measures and faster vaccination are key to controlling the virus.
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