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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.

This project includes the generator scripts for generating the index files of the howto-cards and modules (handbook, qms, ...)

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.

Basic practice repository for git trainings

Basic practice repository for git trainings

Basic practice repository for git trainings

Gene regulation inference of COVID-19

Basic practice repository for git trainings. Carmen's fork.

Basic practice repository for git trainings

Client for GA4GH Data Repository Service (DRS) API service

Repository for all slides related to R3 courses.