DOSE-L1000-Viz: an interactive Shiny application for dose–response transcriptomic analysis, target-centric exploration, and signature search
DOSE-L1000-Viz and the backend data are publicly accessible at: https://dosel1000.com. All code is publicly hosted on GitHub (https://github.com/JmWangBio/DOSEL1000Viz) and archived via Zenodo (https://doi.org/10.5281/zenodo.15532392).
Authors
- Junmin Wang (ORCID: https://orcid.org/0009-0004-3728-9538)
Institutions
- AstraZeneca (South Korea) (KR)
- AstraZeneca (Australia) (AU)
- AstraZeneca (Brazil) (BR)
- AstraZeneca (United States) (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf353
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00