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Repository for all slides related to R3 courses.

Practice repository advanced git training.

Playground for experiments on the official http://bioconductor.org/packages/devel/bioc/html/RMassBank.html

https://howto.lcsb.uni.lu

https://howto.lcsb.uni.lu

Jekyll filters and tags which are used in frozen-pages layout of jekyll-theme-lcsb-default project. Solves the problem of sharing the filters and tags, which are not published inside the theme itself.

Practice repository R3 git training. Slides: https://r3school.pages.uni.lu/git.slides

Plugin that automatically login specified user.

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.

Constraint-Based Reconstruction and EXascale Analysis

Pre-screening mass spectrometry data.