Explore projects
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Jenny Thuy Dung Tran / howto-cards
Creative Commons Zero v1.0 UniversalUpdated -
Elisa Gomezdelope / ML_UPDRSIII_metab_transc
MIT LicenseThis repository contains the code for ML analyses performed in Chapter 5 of my PhD thesis "Interpretable machine learning on omics data for the study of UPDRS III prognosis". The project consists on predicting the Unified Parkinson’s Disease Rating Scale Part III (UPDRS III) motor scores (mild/severe when classification) from whole blood transcriptomics and blood plasma metabolomics using measurements from the baseline clinical visit, and temporal or dynamic features engineered from a short temporal series of 4 and 3 timepoints, respectively, from the PPMI cohort and the LuxPARK cohort, aiming at identifying molecular and higher-level functional fingerprints linked specifically to the motor symptoms in PD.
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elixir / daisy
GNU Affero General Public License v3.0Data Information System (DAISY) is a data bookkeeping application designed to help Biomedical Research institutions with their GDPR compliance.
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Diana HENDRICKX / git.practice
Apache License 2.0Practice repository R3 git training. Slides: https://r3school.pages.uni.lu/git.slides
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R3 / apps / generator
Apache License 2.0This project includes the generator scripts for generating the index files of the howto-cards and modules (handbook, qms, ...)
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Miroslav Kratochvil / r3-pages
Creative Commons Zero v1.0 UniversalRepository for building the official website of the R3 lab.
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TNG / papers / PD GBM Publication
Apache License 2.0Updated -
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Sascha Herzinger / ada-web
Creative Commons Attribution Non Commercial 3.0 UnportedWeb part of Ada Discovery Analytics backed by Play Framework.
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lux-covid19 / forum / Login Form
MIT LicenseUpdated -
LCSB-BioCore / CuFluxSampler.jl
Apache License 2.0Updated -
LCSB-BioCore / FBCModelTests.jl
Apache License 2.0Updated -
CBG / RNetDys
GNU General Public License v2.0 or laterThis is a mirror from https://github.com/BarlierC/RNetDys.
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LCSB-BioCore / GigaScatter.jl
Apache License 2.0Updated -
The COVIDminer text mining project (https://rupertoverall.net/covidminer/) reads the published literature concerning SARS-CoV-2 and COVID-19 to extract statements about (primarily molecular) interactions. Using the API associated with this project, p
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