Results 71 to 80 of about 17,397,225 (294)

ZINQ-L: a zero-inflated quantile approach for differential abundance analysis of longitudinal microbiome data

Frontiers in Genetics
BackgroundIdentifying bacterial taxa associated with disease phenotypes or clinical treatments over time is critical for understanding the underlying biological mechanism.
Shuai Li, Runzhe Li, John R. Lee, John R. Lee, Ni Zhao, Wodan Ling   +5 more
doaj   +1 more source

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

FEBS 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, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

A Long-Term Study of Aerobic Performance in Elite Cross-Country Skiers: How Age and Sex Influence Career Development

Current Issues in Sport Science
Introduction Elite cross-country (XC) skiers undergo standardized testing to monitor their performance development and to calibrate training prescriptions.
Elias Bucher, Jon P. Wehrlin, Grégoire P. Millet, Thomas Steiner   +3 more
doaj   +1 more source

Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data

, 2022
Multivariate models for longitudinal data attempt to examine change in multiple variables as well as their interrelations over time. In this study, we present a Mixed-Effects Model with Crossed Random effects (MEM-CR) for individuals and variables, and ...
José Ángel Martínez-Huertas (13834555), Emilio Ferrer (2592064)   +1 more
core   +1 more source

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, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

A variance shilf model for outlier detection and estimation in linear and linear mixed models [PDF]

, 2008
Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
core   +1 more source

lmerTest Package: Tests in Linear Mixed Effects Models

Journal of Statistical Software, 2017
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer?
Alexandra Kuznetsova, Per B. Brockhoff, Rune H. B. Christensen   +2 more
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

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, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

MODELOS Y ANÁLISIS PARA DATOS DE DEGRADACIÓN MODELOS Y ANÁLISIS PARA DATOS DE DEGRADACIÓN

Revista Colombiana de Estadística, 2003
Degradation is a weakness that eventually can cause failure (e.g. car tire wear). When it is possible to measure degradation, such measures often provide more information than failure-time data for purposes of assessing and improving product reliability.
Yánez C. Sergio, Granada G. Ronald Andrés, Jaramillo E. Mario Cesar   +2 more
doaj  

Linear Mixed Models: Gum and Beyond

Measurement Science Review, 2014
In Annex H.5, the Guide to the Evaluation of Uncertainty in Measurement (GUM) [1] recognizes the necessity to analyze certain types of experiments by applying random effects ANOVA models.
Arendacká Barbora, Täubner Angelika, Eichstädt Sascha, Bruns Thomas, Elster Clemens   +4 more
doaj   +1 more source