Comparative analysis of the NFkb signaling pathway model predictive regions.

Comparative analysis of the NFkb signaling pathway model predictive regions.

<p>This figure presents the predictive regions obtained from a 13-point synthetic dataset. It showcases the regions for the six observables obtained by using our two proposed methods: CUQDyn1 and CUQDyn2.</p>

Saved in:

Bibliographic Details
Main Author:	Alberto Portela (21349980) (author)
Other Authors:	Julio R. Banga (8131953) (author), Marcos Matabuena (6984305) (author)
Published:	2025
Subjects:	Medicine Biotechnology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified several illustrative scenarios posing significant challenges computational model predictions complex biological systems reliable uncertainty calibration robust uq enables conventional bayesian methods bayesian statistical methods dynamic biological systems art uq approaches bayesian methods systems biology uncertainty quantification dynamic models systematically determining system dynamics seeking rapid scale models provide non predictive tasks predictive models parameter sensitivities parameter distributions often require many state improving robustness deeper understanding critical due conformal prediction conformal algorithms computationally expensive asymptotic guarantees
Tags:	Add Tag No Tags, Be the first to tag this record!

Cannot write session to /tmp/vufind_sessions/sess_1ab29cb0ner7cf0qhvstg7s1t0