Explore projects
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Code and data for the article by Paireau et al. "An ensemble model based on early predictors to forecast COVID-19 healthcare demand in France"
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IdA Public / DNABarcodeCompatibilityShiny
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hub / Gender_at_JOBIM_2021
MIT LicenseThis repository contains public data and script related to our observation study of gender impact on asking behavior during JOBIM 2021.
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Source of the shiny server that presents results obtained by large scale double mutant yeast screens (GIM): http://hub05.hosting.pasteur.fr/GIM_interactions/
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Statistical-Genetics / RAISS
MIT LicenseA python package to impute the SNP summary statistics from neighboring SNPs summary statistics by taking advantage of linkage desiquilibrium
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Keeping R and Python specific snippets
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Course material for the part about R and RStudio of the PhD course.
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Git repository to host The PvSeroTAT RShiny app. This app provides a user-friendly interface to apply classification algorithms to detect recent infections by Plasmodium vivax, as detailed in the recent paper by Longley et al. (https://doi.org/10.1038/s41591-020-0841-4)
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Code and data for the article "Integrating information from historical data into epidemic forecast: Application to influenza in France" by Alessio Andronico, Juliette Paireau and Simon Cauchemez
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Asia-Pacific ICEMER cohort ran in Madang (Papua New-Guinea) in early 2020. The purpose of this repository is to centralize R scripts and developments to streamline the data extraction and analysis.
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