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On-line doctoral training on EMULSION

Notebooks Jupyter

Connecteur entre dataverse et jupyterhub

Implementation of the deterministic model of the intestinal including microbiota, as described in Darrigade et al., 'A PDMP model of the epithelial cell turn-over in the intestinal crypt including microbiota-derived regulations.' (2021).

Implementation of a PDMP model of the intestinal including microbiota, as described in Darrigade et al., 'A PDMP model of the epithelial cell turn-over in the intestinal crypt including microbiota-derived regulations.' (2021).

Sessions Machine et Deep Learning - module Agrotic/Datascience - 03/12 et 07/12

Compute the spatial distribution of measurement station on a river under a maximum distance objective.

Sessions Machine et Deep Learning - module Agrotic/Datascience - 03/12 et 07/12

Sessions Machine et Deep Learning - module Agrotic/Datascience - 03/12 et 07/12

Companion code to the publication 'Inferring characteristics of bacterial swimming in biofilm matrix from time-lapse confocal laser scanning microscopy', Ravel et al.

Toolbox for the inverse problem solution to identify sources of pheromone emission.

Comparative analysis of NLP neural methods for the entity normalization task in the biological field.

DeepGNN: Semi-supervised deep learning with graph neural network for cross-species regulatory sequence prediction

https://lisc.pages.mia.inra.fr/geopat/

Spatial multi-objectives optimization tool for identifying compatibles cultural scenarios for the "Projet Alimentaire Territorial" Grand-Clermont/PNR-Livradois-Forez.