Explore projects
-
Computational modelling and simulation / C19DM-Neo4j database
GNU General Public License v3.0 or laterUpdated -
Jenny Thuy Dung Tran / basic-practice-pages
MIT LicenseBasic practice repository for git trainings
Updated -
Janine Schulz / basic-practice-pages
MIT LicenseBasic practice repository for git trainings
Updated -
Computational modelling and simulation / GeneRegulationAnalysis
GNU Affero General Public License v3.0Gene regulation inference of COVID-19
Updated -
R3 / apps / tailorbird / linkchecker
Apache License 2.0Updated -
Updated
-
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.
Updated -
Carmen Lahr / basic-practice-pages
MIT LicenseBasic practice repository for git trainings. Carmen's fork.
Updated -
IMP / IMP3
MIT LicenseUpdated -
-
Jil Fischbach / basic-practice-pages
MIT LicenseBasic practice repository for git trainings
Updated -
IDERHA / DRS-cli
Apache License 2.0Client for GA4GH Data Repository Service (DRS) API service
Updated -
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 -
Marina Popleteeva / courses
Creative Commons Zero v1.0 UniversalRepository for all slides related to R3 courses.
Updated -
Elisa Gomezdelope / ML_UPDRSIII_metab_transc
MIT LicenseThis 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.
Updated -
LCSB-BioCore / publications / Hemedan 2023-Boolean modelling of PD
Apache License 2.0Updated -
Polina Novikova / archaea-in-gut
MIT LicenseUpdated -
ESB / archaea_in_gut
MIT LicenseUpdated