Results 61 to 70 of about 1,019,951 (276)

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Principles for statistical inference

open access: yesRevista de la Facultad de Ciencias de la Salud, 2015
To attend the first purpose of medical research, the selection of appropriate statistical method, this review described the statistical inference and the principles for the selection of statistical test: first, synthesize measurements on a limited number
Valeria Camila Restrepo-Arias   +1 more
doaj   +2 more sources

Efficient statistical inference for stochastic reaction processes

open access: yes, 2010
We address the problem of estimating unknown model parameters and state variables in stochastic reaction processes when only sparse and noisy measurements are available.
Andreas Ruttor   +8 more
core   +1 more source

Alcohol‐induced altered glycans in human tracheal epithelial cells promote bacterial adhesion

open access: yesFEBS Open Bio, EarlyView.
Alcohol induces altered glycans to promote bacteria adhesion. Heavy alcohol drinking is known to increase the risk of bacterial pneumonia. However, the link between alcohol levels and risk of infection remains underexplored. Recently, we found that alcohol induced α2‐6sialo mucin O‐glycans in human tracheobronchial epithelial cells, which mediated the ...
Pi‐Wan Cheng   +2 more
wiley   +1 more source

Statistical inference for time-inhomogeneous volatility models

open access: yes, 2004
This paper offers a new approach for estimating and forecasting the volatility of financial time series. No assumption is made about the parametric form of the processes.
Mercurio, Danilo, Spokoiny, Vladimir
core   +1 more source

The cooperative regulation of miR‐221 by APE1 and AUF1 impacts p27Kip1 defining a miR signature relevant for cervical cancer

open access: yesFEBS Open Bio, EarlyView.
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti   +3 more
wiley   +1 more source

Statistical Inference Based on L-Moments [PDF]

open access: yesStatistika: Statistics and Economy Journal, 2017
To overcome drawbacks of central moments and comoment matrices usually used to characterize univariate and multivariate distributions, respectively, their generalization, termed L-moments, has been proposed.
Tereza Šimková
doaj  

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

Applications of statistical experimental designs to improve statistical inference in weed management.

open access: yesPLoS ONE, 2021
In a balanced design, researchers allocate the same number of units across all treatment groups. It has been believed as a rule of thumb among some researchers in agriculture. Sometimes, an unbalanced design outperforms a balanced design.
Steven B Kim   +2 more
doaj   +1 more source

The Statistical Performance of Collaborative Inference [PDF]

open access: yes, 2015
The statistical analysis of massive and complex data sets will require the development of algorithms that depend on distributed computing and collaborative inference.
Biau, Gérard   +2 more
core   +3 more sources

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