Results 151 to 160 of about 1,563,284 (329)
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
Advanced Science, EarlyView.SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalization. [PDF]
BMC Med Res Methodol, 2023 Bahrami S +5 more
europepmc +1 more source
, 2009 Συχνά στην ανάλυση δεδομένων αποφεύγουμε (ηθελημένα ή μη) να αναφέρουμε την αβεβαιότητα την οποία περιέχει η επιλογή ενός μοντέλου. Αυτή η πηγή αβεβαιότητας όμως είναι αρκετά σημαντική όταν ενδιαφερόμαστε για πρόβλεψη κάποιας ποσότητας (π.χ. μιας νέας παρατήρησης, του κόστους μιας απόφασης). Μια μέθοδος αντιμετώπισης του προβλήματος είναι η σταθμισμένη
openaire +1 more source
The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage. [PDF]
We introduce and implement a reversible jump approach to Bayesian Model Averaging for the Probit model with uncertain regressors. This approach provides a direct estimate of the probability that a variable should be included in the model.
Balcombe, Kelvin, Tiffin, R
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Early Warning Models for Systemic Banking Crises in Montenegro [PDF]
Economic and Business Review, 2013 The purpose of this research is to create an adequate early warning model for systemic banking crises in Montenegro. The probability of banking crisis occurrence is calculated using discrete dependent variable models, more precisely, estimating logit ...
Željka Asanović
doaj
Bayesian Model Averaging to Account for Model Uncertainty in Estimates of a Vaccine's Effectiveness. [PDF]
Clin Epidemiol, 2022 Oliveira CR, Shapiro ED, Weinberger DM.
europepmc +1 more source
Imposing parsimony in cross-country growth regressions [PDF]
The number of variables related to long-run economic growth is large compared with the number of countries. Bayesian model averaging is often used to impose parsimony in the cross-country growth regression.
Jarociński, Marek
core
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source