Skip to content

GitLab

Explore

Sign in

S

Single-cell transcriptomic data analysis in epithelial cell types of COVID-19 patient groups with different severity profiles

Project information

An exploration on gene expression data was carried out on single-cell RNAseq analyses of bronchoalveolar lavages from nine COVID-19 patients, three moderate cases, severe case and critical cases, comparing with healthy subjects.

121 Commits
3 Branches
0 Tags

README

Created on

May 11, 2022

Copy SSH clone URLssh://git@gitlab.lcsb.uni.lu:8022/computational-modelling-and-simulation/single-cell-transcriptomic-data-analysis-in-epithelial-cell-types-of-covid-19-patient-groups-with-different-severity-profiles.git
Copy HTTPS clone URLhttps://gitlab.lcsb.uni.lu/computational-modelling-and-simulation/single-cell-transcriptomic-data-analysis-in-epithelial-cell-types-of-covid-19-patient-groups-with-different-severity-profiles.git

Loading