Results 81 to 90 of about 2,481,944 (297)

Combining Methods in Supervised Classification: a Comparative Study on Discrete and Continuous Problems

Revstat Statistical Journal, 2006
Often in discriminant analysis several models are estimated but based on some validation criterion, a single model is selected. In the purpose of taking profit from several potential models, classification rules combining models are considered in this ...
Isabel Brito , Gilles Celeux , Ana Sousa Ferreira   +2 more
doaj   +1 more source

Antibiofilm activity of a chionodracine‐derived peptide by NMR‐based metabolomics of cell‐free supernatant of Acinetobacter baumannii clinical strains

FEBS Open Bio, EarlyView.
KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli, Enrico Landi, Francesco Maiurano, Irene Paris, Rosanna Papa, Marco Artini, Laura Selan, Stefano Borocci, Francesco Buonocore, Esther Imperlini   +9 more
wiley   +1 more source

The Best Fit Bayesian Hierarchical Generalized Linear Model Selection Using Information Complexity Criteria in the MCMC Approach

Journal of Mathematics
Both frequentist and Bayesian statistics schools have improved statistical tools and model choices for the collected data or measurements. Model selection approaches have advanced due to the difficulty of comparing complicated hierarchical models in ...
Endris Assen Ebrahim, Mehmet Ali Cengiz, Erol Terzi   +2 more
doaj   +1 more source

Hierarchical Bayesian models for the estimation of unemployment rates in small domains of the italian labour force survey

Statistica, 2007
In this paper we introduce shrinkage estimators for the estimation of the Unemployment rate in small domains of the Italian Labour Force Survey. The proposed estimators are based on Hierarchical Linear Mixed Models and on the borrowing strength on both ...
Enrico Fabrizi
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

BMC Medical Research Methodology, 2017
Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
doaj   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

FEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold, Janik Riese, Lancelot Seillier, Mark Kühnel, Julia Pannhausen, Charlotte O. J. Fröhlich, Christian Martin, Peter Boor, Matthias Saar, Danny D. Jonigk, Nadine T. Gaisa, Michael Rose   +11 more
wiley   +1 more source

Model-based clustering via linear cluster-weighted models

, 2015
A novel family of twelve mixture models with random covariates, nested in the linear $t$ cluster-weighted model (CWM), is introduced for model-based clustering.
Aitken, Andrews, Andrews, Antonio Punzo, Baek, Biernacki, Brent, Böhning, Campbell, Cellini, Chatzis, Cleveland, Dempster, Everitt, Flury, Fraley, Frühwirth-Schnatter, Gershenfeld, Greselin, Hennig, Hubert, Ingrassia, Lange, Leisch, McLachlan, McLachlan, McNicholas, McNicholas, McNicholas, McNicholas, Peel, Salvatore Ingrassia, Schwarz, Shoham, Simona C. Minotti, Titterington, Wand, Wedel, Zellner   +38 more
core   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

A Framework to Interpret Nonstandard Log-Linear Models

Austrian Journal of Statistics, 2016
The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
doaj   +1 more source