Results 81 to 90 of about 391,668 (248)

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

open access: yesFEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde   +3 more
wiley   +1 more source

Tutorial overview of simple, stratified, and parametric bootstrapping

open access: yesEngineering Reports, 2020
Students pursuing baccalaureate degrees in electrical engineering and computer engineering are required to take a course in probability and statistics.
P. M. Shankar
doaj   +1 more source

Establishing an assay to evaluate d‐amino acid oxidase enzyme kinetics and inhibition using WST‐8 redox dye

open access: yesFEBS Open Bio, EarlyView.
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake   +4 more
wiley   +1 more source

DETERMINANTS OF CONSUMER PREFERENCES IN ADDIS ABABA RESTAURANTS [PDF]

open access: yesManagement & Marketing, 2010
This study was proposed to explore the determinants of consumer preferences in Addis Ababa restaurants. Using consumer behavior literatures and theories it was hypothesized that disposable income, price, quality, hygiene practices, friendliness of ...
Dejene Mamo BEKANA
doaj  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

New evidence on the Fed's productivity in providing payments services [PDF]

open access: yes
As the dominant provider of payments services, the efficiency with which the Federal Reserve provides such services in an important public policy issue.
David C. Wheelock   +2 more
core  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]

open access: yes
We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
core  

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing [PDF]

open access: yes, 2015
We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed effect model and the parametric models for SNP set analysis in genetic ...
Wen, Xiaoquan
core  

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