Results 91 to 100 of about 1,513,668 (313)
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
S-estimation and a robust conditional Akaike information criterion for linear mixed models. [PDF]
We study estimation and model selection on both the fixed and the random effects in the setting of linear mixed models using outlier robust S-estimators.
Tharmaratnam, Kukatharmini +1 more
core
Comparative study of diagnostic methods for linear mixed models and generalized linear models.
graficas, tablasMuchos fenómenos de la naturaleza pueden ser representados por medio de modelos estadísticos de forma satisfactoria y, para validar estos modelos, los métodos de diagnóstico resultan ser herramientas muy útiles para la verificación de ...
Morales Foronda, Andrés Felipe
core +1 more source
O presente trabalho objetivou realizar a seleção genética de indivíduos híbridos superiores de coqueiro a partir da avaliação de 1.080 plantas para produção de frutos e de albúmen fresco, visando a ao fornecimento de sementes e/ou clones melhorados para ...
João Tomé Farias Neto +3 more
doaj +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Robust MM-Estimation and Inference in Mixed Linear Models [PDF]
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
A Random-Effects Log-Linear Model with Poisson Distributions
In several applications data are grouped and there are within-group correlations. With continuous data, there are several available models that are often used; with counting data, the Poisson distribution is the natural choice. In this paper a mixed log-
Maria Alexandra Seco, António St. Aubyn
doaj +1 more source
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Diagnostics for generalised linear mixed models [PDF]
Generalized linear mixed models are generalized linear models that include random effects varying between clusters or 'higher-level' units of hierarchically structured data. Such models can be estimated using gllamm.
Sophia Rabe-Hesketh, Anders Skrondal
core
Multiplicative mixed models for the analysis of sensory evaluation data
Multiplicative mixed models have recently been proposed for the analysis of data from series of plant variety trials. Such approaches may be useful for other applications, including the analysis of data from sensory evaluation experiments.
Thompson, R +6 more
core +1 more source

