TIN-X Version 3: Update with expanded dataset and modernized architecture
| Autor: | Metzger, Vincent T., Cannon, Daniel C., Yang, Jeremy J., Mathias, Stephen L., Bologa, Cristian G., Waller, Anna, Schürer, Stephan C., Dušica Vidović, Jensen, Lars Juhl, Lambert, Christophe G., Oprea, Tudor I., Edwards, Jeremy S. |
|---|---|
| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.5281/zenodo.7735662 |
| Popis: | Target Importance and Novelty eXplorer (TIN-X) is an Interactive web-based visualization tool for illuminating associations between diseases and drug targets. TIN-X uses natural language processing to identify disease and protein mentions within PubMed content. Two important metrics, novelty and importance, are computed from this data, and when plotted as log(importance) vs log(novelty), help users visually explore the novelty of drug targets and their associated importance to diseases. The primary data sources are TCRD/Pharos and PubMed content. {"references":["DC Cannon, JJ Yang, SL Mathias, O Ursu, S Mani, A Waller, SC Schürer, LJ Jensen, LA Sklar, CG Bologa, and TI Oprea, \"TIN-X: Target Importance and Novelty Explorer.\" (2017) Bioinformatics, btx200, doi: 10.1093/bioinformatics/btx200","Sheils, T., Mathias, S. et al, \"TCRD and Pharos 2021: mining the human proteome for disease biology.\" (2021) Nucl. Acids Res., DOI: 10.1093/nar/gkaa993","Dhouha Grissa, Alexander Junge, Tudor I. Oprea, and Lars Juhl Jensen. \"DISEASES 2.0: a weekly updated database of disease–gene associations from text mining and data integration.\" (2022) Database, 1-8; doi/10.1093/database/baac019/6554833","NIH Strategic Plan for Data Science, accessed Feb 2022, https://datascience.nih.gov/sites/default/files/NIH_Strategic_Plan_for_Data_Science_Final_508.pdf"]} |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|