Results 51 to 60 of about 205,425 (288)

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS 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

Comparison of total variation with a motion estimation based compressed sensing approach for self-gated cardiac cine MRI in small animal studies. [PDF]

open access: yesPLoS ONE, 2014
PURPOSE: Compressed sensing (CS) has been widely applied to prospective cardiac cine MRI. The aim of this work is to study the benefits obtained by including motion estimation in the CS framework for small-animal retrospective cardiac cine.
Juan F P J Abascal   +4 more
doaj   +1 more source

A fast method for implementing Generalized Cross-Validation in multi-dimensional nonparametric regression [PDF]

open access: yes, 2001
This article presents a modified Newton method for minimizing the Generalized Cross-Validation criterion, a commonly used smoothing parameter selection method in nonparametric regression.
Kauermann, Göran, Opsomer, J. D.
core   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data [PDF]

open access: yesRevista Română de Statistică, 2017
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are replaced by synthetic data points
Dursun AYDIN, Ersin YILMAZ
doaj  

Model selection in multivariate adaptive regressions splines (MARS) using alternative information criteria

open access: yesHeliyon, 2023
Multivariate Adaptive Regression Splines (MARS) is a useful non-parametric regression analysis method that can be used for model selection in high-dimensional data. Since MARS can identify and model complex, non-linear relationships between the dependent
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
doaj   +1 more source

Empirical Smoothing Parameter Selection in Adaptive Estimation

open access: yesThe Annals of Statistics, 1992
The paper deals with selecting the smoothing parameter involved in the construction of adaptive estimates for the symmetric location model. In \textit{P. J. Bickel's} [Ann. Stat. 10, 647-671 (1982; Zbl 0489.62033)] original paper on adaptivity a necessary condition for adaption was given.
openaire   +2 more sources

RIPK4 function interferes with melanoma cell adhesion and metastasis

open access: yesMolecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski   +9 more
wiley   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

open access: yesFEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point   +7 more
wiley   +1 more source

Optimal Minimax Rate of Smoothing Parameter in Distributed Nonparametric Specification Test

open access: yesAxioms
A model specification test is a statistical procedure used to assess whether a given statistical model accurately represents the underlying data-generating process. The smoothing-based nonparametric specification test is widely used due to its efficiency
Peili Liu   +3 more
doaj   +1 more source

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