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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 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

Data Information System (DAISY) is a data bookkeeping application designed to help Biomedical Research institutions with their GDPR compliance.

This project hosts the JSON schemas used for representing the metadata of submissions to the ELIXIR translational data repository. It also provides validation utility methods.

This project contains the guiding material for the practical session of the Data Stewardship Wizard training.

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

Basic practice repository for git trainings

Integrated Network approach for Cellular Transitions through SIgnalling MOlecules

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

Gene regulation inference of COVID-19