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This project is the source repository of the CRAN package 'treediff' https://cran.r-project.org/package=treediff.

The R package treediff performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

DataDiscovery aims at providing researchers a simple and fast access to relevant biological data using specific keywords and easy to use filters.

This tool is expected to be easily customizable for specific filters, environments, or data schemas.

This project is the source repository of the CRAN package 'SISIR' https://cran.r-project.org/package=SISIR.

This package can perform interval fusion and selection procedures in regression models with functional inputs. Implemented methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in doi:10.1007/s11222-018-9806-6 (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in doi:10.1002/sam.11705.

Cette revue de presse généraliste et mensuelle a pour but de sensibiliser le public aux problématiques de la sécurité informatique.

Project related to the development of a basket for RARe portal (https://urgi.versailles.inrae.fr/rare).

L'application permet de simuler le comportement des cours d'eau (hydraulique et transport sédimentaire).

https://bedloadweb.sk8.inrae.fr

JupyterHub based on a virtual machine built with the help of Packer, Vagrant and Ansible tools for using with VirtualBox or OpenStack.

Template for data-analysis projects using R and targets.