Explore projects

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

Method testing and analyses of Oxford Nanopore Technology (ONT) sequencing runs Data obtained by sequencing "generous donor B" across several runs Original data prepared by Rashi (post-sequencing) Initial analyses performed by CCL

A project for interactions with PubChem

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.

This repository contains the code for statistical analyses performed in Chapter 3 of my thesis "Cross-sectional and longitudinal profiling of PD transcriptomics and metabolomics". The project consists on whole blood transcriptomics and blood plasma metabolomics cross-sectional and longitudinal profiling of Parkinson's disease patients and controls from the PPMI cohort and the LuxPARK cohort respectively, to identify differential molecular and higher-level functional features in PD.

Externally visible Howto Cards (preview at https://lcsb.pages.uni.lu/howto/external )

Basic practice repository for git trainings

Repository for building the official website of the R3 lab.

Here is the presence on the university website.

https://r3.pages.uni.lu/howto-cards

Integrated Network approach for Cellular Transitions through SIgnalling MOlecules

Gene regulation inference of COVID-19

Theme for presentations.

All scripts used for AMR and MGE analysis of the LAO dataset