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Practice repository basic git training.

ShinyTPs: Curate transformation products from text mining results from HSDB & PubChem

Repository for NORMAN-SLE work organization at ECI, including list tracking, updates and documentation. Main representatives: Emma and Hiba.

The front-end component of Fractalis.

Repository for building the official website of the R3 lab.

Here is the presence on the university website.

This is a mirror from https://github.com/BarlierC/RNetDys.

This repository contains the code for ML analyses performed in Chapter 4 of my PhD thesis "Interpretable Machine Learning on omics data for biomarker discovery in Parkinson's disease". The project consists on performing Parkinson's disease (PD) case-control classification from blood plasma metabolomics measurements at the baseline clinical visit from the LuxPARK cohort, and from whole blood transcriptomics data at baseline as well as dynamic features engineered from a short temporal series of 4 timepoints from the PPMI cohort. The study involves evaluation of different feature selection strategies, The goal was to build and test a collection of ML models and, most interestingly, identify molecular and higher-level functional representations associated with PD diagnosis.

Basic practice repository for git trainings

This 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.

Basic practice repository for git trainings

Pre-screening mass spectrometry data.

This repository contains the scripts that have been developed in the course of the GeneDER project (Biomedical Data Science group - Enrico Glaab Lab).

Benchmark scripts related to the COBREXA.jl publication