Explore projects
-
Repository for NORMAN-SLE work organization at ECI, including list tracking, updates and documentation. Main representatives: Emma and Hiba.
Updated -
Updated
-
Jenny Thuy Dung Tran / howto-cards
Creative Commons Zero v1.0 UniversalUpdated -
Updated
-
DVB / Rosety_2023
Apache License 2.0Updated -
minerva / minervaR
GNU General Public License v3.0 onlyR code for an interface to MINERVA API and helper functions
Updated -
Updated
-
LCSB / Static Page System / Base static site / template
Apache License 2.0HTML and CSS template for the static sites
Updated -
LCSB / Static Page System / Base static site / site contents
Creative Commons Attribution Share Alike 4.0 InternationalMarkdown pages for the static sites
Updated -
R3 / apps / generator
Apache License 2.0This project includes the generator scripts for generating the index files of the howto-cards and modules (handbook, qms, ...)
Updated -
LCSB-BioCore / FBCModelTests.jl
Apache License 2.0Updated -
Janine Schulz / basic-practice-pages
MIT LicenseBasic practice repository for git trainings
Updated -
-
R3 / school / git / basic-practice-pages
MIT LicenseBasic practice repository for git trainings
Updated -
Aurélien Ginolhac / quartoteachting_template
MIT LicenseUpdated -
Elisa Gomezdelope / GRL_sample_similarity_PD
MIT LicenseGraph 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.
Updated -
Graph representation learning modelling pipeline exploiting molecular interaction networks of transcriptomics (protein-protein interactions) and metabolomics (metabolite-metabolite interactions) to learn PD-specific fingerprints from the spatial distribution of molecular relationships in an end-to-end fashion. The scripts apply the graph representation learning modelling pipeline on networks of molecular interactions, where transcriptomics and metabolomics data from the PPMI and the LuxPARK cohort, respectively, are projected.
Updated -