Results 81 to 90 of about 279,034 (281)
Additive Kernels for Gaussian Process Modeling [PDF]
, 2010 Gaussian Process (GP) models are often used as mathematical approximations of computationally expensive experiments. Provided that its kernel is suitably chosen and that enough data is available to obtain a reasonable fit of the simulator, a GP model can
Durrande, Nicolas +2 more
core +2 more sources
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Application of generalized additive models to explore minerals in sheep milk
Journal of Dairy Science: This study explores the complex relationships among ovine milk minerals (Ca, P, Na, K, Mg, K, Cl, respectively) and different factors employing generalized additive mixed models (GAMM). The GAMM included milk yield (MY), parity, and breed as parametric
Stefano Biffani +8 more
doaj +1 more source
The change in the distribution of arable weeds in Europe as a consequence of climate change [PDF]
, 2009 This study aimed at exploring the future distribution of 25 weeed species, representing different distribution patterns and taxa, at European scale.
Hyvönen, Terho +2 more
core
Additive-multiplicative stochastic models of financial mean-reverting processes
, 2005 We investigate a generalized stochastic model with the property known as mean reversion, that is, the tendency to relax towards a historical reference level.
C. Anteneodo +11 more
core +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
FEBS Open Bio, EarlyView.An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
A comparative analysis of generalized additive models for obesity risk prediction
Healthcare AnalyticsObesity is a growing global health crisis, and traditional regression models often fail to capture the complex relationships between risk factors, limiting predictive accuracy and hindering effective public health interventions.
Olushina Olawale Awe +4 more
doaj +1 more source
The live method for generalized additive volatility models. [PDF]
We investigate a new separable nonparametric model for time series, which includes many autoregressive conditional heteroskedastic (ARCH) models and autoregressive (AR) models already discussed in the literature.
Kim, Woocheol, Linton, Oliver B.
core +1 more source
FEBS Open Bio, EarlyView.This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia +3 more
wiley +1 more source
Statistical Qualification for Approval of Commercial Credits through Generalized Additive Models
Latin-American Journal of Computing, 2020 This article presents the application of a methodological procedure for the construction of a statistical qualification model for the approval of commercial credits in a public financial institution.
Verónica Garrido +2 more
doaj