Results 81 to 90 of about 23,995,846 (308)
Design and analysis strategies for robust microbiome ageing research
FEBS 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
Revista Colombiana de Estadística, 2006 We use the concepts of degradation analysis as they relate to product reliability. Many failure mechanisms can be traced to an underlying degradation process. Degradation eventually leads to a weakness that can cause failure.
Yáñez Sergio, Granada Ronald Andrés
doaj
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Smoothing with Mixed Model Software [PDF]
Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing.
Matthew P. Wand, Long Ngo
core
Comparación de metodologías para el análisis de datos de degradación para trayectorias lineales
Revista Colombiana de Estadística, 2006 Se usarán conceptos de análisis de degradación en relación con la confiabilidad de un producto. Muchos mecanismos de falla pueden detectarse a través de procesos de degradación.
SERGIO YÁÑEZ, RONALD ANDRÉS GRANADA
doaj
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
CPT: Pharmacometrics & Systems PharmacologyModel‐based meta‐analysis (MBMA) informs key drug development decisions by integrating data, published or unpublished, from multiple studies. Due to these various sources of information and the use of summary‐level data (e.g., mean responses over ...
Chloe Bracis +5 more
doaj +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Stochastic Differential Mixed-Effects Models
Scandinavian Journal of Statistics, 2010 Continuous processes \(X_t^i\) are observed for \(M\) different experimental units \(i=1,\dots,M\) at discrete time points. The stochastic differential mixed effect model (SDMEM) assumes that \[ dX_t^i=\mu(X_t^i,\vartheta,b^i)dt+\sigma(X_t^i,\vartheta,b^i)dw_t^i, \] where \(w_t^i\) are standard Brownian motions, \(\mu\) and \(\sigma\) are known drift ...
Picchini U, De Gaetano A, Ditlevsen S
openaire +6 more sources