Results 51 to 60 of about 482,042 (298)
Optimal experimental design for predator–prey functional response experiments [PDF]
, 2018 Functional response models are important in understanding predator–prey interactions. The development of functional response methodology has progressed from mechanistic models to more statistically motivated models that can account for variance and the ...
Christopher C. Drovandi +4 more
core +4 more sources
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
BMC Medical Research Methodology, 2022 Background Due to identifiability problems, statistical inference about treatment-by-period interactions has not been discussed for stepped wedge designs in the literature thus far.
Zhuozhao Zhan +2 more
doaj +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Uses and Implications of Field Disease Data for Livestock Genomic and Genetics Studies
Frontiers in Genetics, 2012 This paper identifies issues associated with field disease data and their implications on the interpretation of estimated genetic parameters and experimental designs. The main focus is on concepts relating to the impacts of diagnostic test properties and
Steve eBishop +2 more
doaj +1 more source
Design and Analysis of Optimization Algorithms Using Computational Statistics
Applied Numerical Analysis & Computational Mathematics, 2004 AbstractWe propose a highly flexible sequential methodology for the experimental analysis of optimization algorithms. The proposed technique employs computational statistic methods to investigate the interactions among optimization problems, algorithms, and environments. The workings of the proposed technique are illustrated on the parameterization and
Bartz Beielstein, T. +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Springback Analysis in the Bending Process of V-shaped Stainless Steel AISI 304 Using Central Composite Design (CCD) Approach [PDF]
E3S Web of ConferencesThis study's principal goal is to investigate how the punch angle and punch radius impact the optimum springback during stainless steel sheet made of AISI 304 bent.
Nur Rusdi +3 more
doaj +1 more source
A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]
, 2019 Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos +4 more
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