Prediction of repurposed drugs for treating lung injury in COVID-19
<p>These are output files of shared R scripts used in prediction of repurposed drugs for treating lung injury in COVID-19.</p> <p> </p> <p>R scripts are available here: https://doi.org/10.5281/zenodo.3822923</p> <p> </p> <p>Description of files:</p> <p>HCC515_6_data_for_drug.csv #Differential expression of genes in HCC515 cell at 6 h after treatment of ACE2 inhibitor</p> <p>HCC515_24_data_for_drug.csv #Differential expression of genes in HCC515 cell at 24 h after treatment of ACE2 inhibitor</p> <p>COVID19-Lung_data_for_drug.csv #Differential expression of genes in lung tissues with COVID-19</p> <p>HCC515_6_drug.csv #Drugs for HCC515 cell at 6 h after transfection of ACE2 inhibitor</p> <p>HCC515_24_drug.csv #Drugs for HCC515 cell at 24 h after transfection of ACE2 inhibitor</p> <p>COVID19-Lung_drug.csv #Drugs for lung tissuse from COVID-19 patients</p> <p>COL-3_single_treatment_response_data.csv #Differential expression of genes in HCC515 cell at 24h after treatment of COL-3</p> <p>CGP-60474_single_treatment_response_data.csv #Differential expression of genes in HCC515 cell at 24h after treatment of CGP-60474</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4