Iterative design of training data to control intricate enzymatic reaction networks

B van Sluijs, T Zhou, B Helwig, MG Baltussen… - Nature …, 2024 - nature.com
Kinetic modeling of in vitro enzymatic reaction networks is vital to understand and control the
complex behaviors emerging from the nonlinear interactions inside. However, modeling is …

Conformal Prediction in Dynamic Biological Systems

A Portela, JR Banga, M Matabuena - arXiv preprint arXiv:2409.02644, 2024 - arxiv.org
Uncertainty quantification (UQ) is the process of systematically determining and
characterizing the degree of confidence in computational model predictions. In the context of …

Ensemble approach for predicting the diagnosis of osteoarthritis using soft voting classifier

J Kim - medRxiv, 2023 - medrxiv.org
Background Osteoarthritis (OA) is a common degenerative disease of the joints. Risk factors
for OA include non-modifiable factors such as age and gender and modifiable factors such …

[PDF][PDF] Iterative design of training data to control intricate enzymatic reaction networks

B Sluijs, T Zhou, B Helwig, MG Baltussen… - 2024 - repository.ubn.ru.nl
Results Overview of the nucleotide salvage pathway The in vitro ERN constructed in this
work derives from the nucleotide salvage pathway (Fig. 1 a), which regenerates nucleotides …

Ensemble approach for predicting the diagnosis of osteoarthritis using physical activity factors

G Gwak, J Kim, U Hwang, S Jung - Journal of Evaluation in Clinical … - Wiley Online Library
Background Osteoarthritis (OA) is a common degenerative disease of the joints. Risk factors
for OA include non‐modifiable factors such as age and sex, as well as modifiable factors like …