Results 61 to 70 of about 11,261,456 (259)

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Robust MM-Estimation and Inference in Mixed Linear Models [PDF]

open access: yes
Mixed linear models are used to analyse data in many settings. These models generally rely on the normality assumption and are often fitted by means of the maximum likelihood estimator (MLE) or the restricted maximum likelihood estimator (REML). However,
Stephane Heritier, Samuel Copt
core  

Mixed-effect linear regression candidate models.

open access: yes, 2019
Mixed-effect linear regression candidate models.
Jason Parker (2050768)   +9 more
core   +1 more source

Mixed models

open access: yes, 2022
Ana Alves Francisco's Mixed effect models code for R.
Francisco, Ana A
core   +1 more source

ABOUT THE BEST LINEAR UNBIASED PREDICTOR (BLUP) AND ASSOCIATED RESTRICTIONS SOBRE LA CONSTRUCCIÓN DEL MEJOR PREDICTOR LINEAL INSESGADO (BLUP) Y RESTRICCIONES ASOCIADAS

open access: yesRevista Colombiana de Estadística, 2007
The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto   +2 more
doaj  

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Latent mixed models [PDF]

open access: yes, 2009
The linear mixed model has been a major research interest of Dr Arthur Gilmour, motivated by problems arising in research data generated by agricultural scientists.
Thompson, R.
core  

An Optimization Model for Reducing Pumping Costs in Water Distribution Systems [PDF]

open access: yesمجله مدل سازی در مهندسی
The architecture of water distribution networks is inherently intricate, encompassing the strategic management of pumping mechanisms, modulation of reservoir water levels, and ensuring the delivery of water to consumers with adequate flow and pressure. A
Abbasali Rezapour
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Gauss-Hermite quadrature approximation for estimation in generalised linear mixed models

open access: yes, 2003
This paper provides a unified algorithm to explicitly calculate the maximum likelihood estimates of parameters in a general setting of generalised linear mixed models (GLMMs) in terms of Gauss-Hermite quadration approximation.
Pan, J., Thompson, R.
core   +1 more source

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