Explore projects

Repository for all slides related to R3 courses.

Graph representation learning modelling pipeline exploiting sample-similarity networks derived from high-throughput omics profiles to learn PD-specific fingerprints from the spatial distribution of molecular abundance similarities in an end-to-end fashion. The scripts apply the graph representation learning modelling pipeline on sample-similarity networks of transcriptomics and metabolomics data from the PPMI and the LuxPARK cohort, respectively.

Code related to Talavera Andujar et al DOI: 10.26434/chemrxiv-2023-6j2gm

R package for Gene Regulatory Networks

Pre-screening mass spectrometry data.

Repository for all slides related to R3 courses.

The sensitivity analysis of IFN1 boolean model is investigated against over expression and knockout mutations. The simulation is performed based on the ranked sensitivity values. Attractors' analysis is also performed to support the main conclusions.