A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity.
Saved in:
| Title: | A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity. |
|---|---|
| Authors: | Huber HA; Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America., Finley SD; Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America.; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, United States of America.; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jun 05; Vol. 22 (6), pp. e1014321. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
