Article
De novo distillation of thermodynamic affinity from deep learning regulatory sequence…
medRxiv · 2023 · Alexandari, A. M.; Horton, C. A.; Shrikumar, A.; Shah, N.; Li, E.; Weilert, M.; Pufall, M. A.; Zeitlinger, J.; Fordyce, P. M.; Kundaje, A.
Key facts
| Title | De novo distillation of thermodynamic affinity from deep learning regulatory sequence models of in vivo protein-DNA binding |
|---|---|
| First author | Alexandari, A. M.; Horton, C. A.; Shrikumar, A.; Shah, N.; Li, E.; Weilert, M.; Pufall, M. A.; Zeitlinger, J.; Fordyce, P. M.; Kundaje, A. |
| Journal | medRxiv |
| Published | May 11, 2023 |
| DOI | 10.1101/2023.05.11.540401 |
| Product codes mentioned | JJX, PFF, PFT |
At a glance
- None FDA submissions mentioned
- 1–9 Product codes mentioned
Counts are shown as ranges. Exact figures, trends and every underlying record are available in Orca1.
About Literature
Peer-reviewed and preprint literature indexed by Orca1 and linked to the FDA submissions and product codes each article mentions. Only bibliographic details are shown here.
Source: Publisher and PubMed metadata; device mentions identified by Orca1