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Repository for all slides related to R3 courses.

Basic practice repository for git trainings

Example code to plot CCDF from k6 results

Basic practice repository for git trainings

Configuration of the teaching system.

Basic practice repository for git trainings

A package and environment with the NestedCV() class - a scikit-learn compatible class for nested cross-validation.

Training materials for the MINERVA Platform

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.

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

scripts for ZOTERO .bib generation

Integrated meta-omics pipeline