Results 51 to 60 of about 123,313 (259)

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

open access: yes, 2014
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after unspecified marginally monotone transformations, the distributions are ...
Han, Fang, Liu, Han
core   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Reducing Bias in Beta Regression Models Using Jackknifed Liu-Type Estimators: Applications to Chemical Data

open access: yesJournal of Mathematics
In the field of chemical data modeling, it is common to encounter response variables that are constrained to the interval (0, 1). In such cases, the beta regression model is often a more suitable choice for modeling.
Solmaz Seifollahi   +2 more
doaj   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

open access: yesFEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini   +2 more
wiley   +1 more source

High Dimensional Semiparametric Gaussian Copula Graphical Models

open access: yes, 2012
In this paper, we propose a semiparametric approach, named nonparanormal skeptic, for efficiently and robustly estimating high dimensional undirected graphical models.
Han, Fang   +4 more
core   +2 more sources

SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1

open access: yesFEBS Open Bio, EarlyView.
Cells expressing SIRT4 (H161Y), a catalytically inactive mutant of the sirtuin SIRT4, fail to upregulate LC3B‐II and exhibit a reduced autophagic flux under stress conditions. Interestingly, SIRT4(H161Y) promotes phosphorylation of ULK1 at S638 and S758 that are associated with inhibition of autophagy initiation.
Isabell Lehmkuhl   +13 more
wiley   +1 more source

Unsupervised Liu-type shrinkage estimators for mixture of regression models

open access: yesStatistical Methods in Medical Research
The mixture of probabilistic regression models is one of the most common techniques to incorporate the information of covariates into learning of the population heterogeneity. Despite its flexibility, unreliable estimates can occur due to multicollinearity among covariates.
Elsayed Ghanem   +2 more
openaire   +3 more sources

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

open access: yesFEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc   +8 more
wiley   +1 more source

AN INVESTIGATION INTO PROPERTIES OF JACKKNIFED AND BOOTSTRAPPED LIU-TYPE ESTIMATOR [PDF]

open access: yesFar East Journal of Mathematical Sciences (FJMS), 2018
In 2003, Liu proposed a new estimator dealing with the problem of multicollinearity in linear regression model pointing out a drawback of ridge estimator used in this context. This new estimator, called Liu-type estimator was demonstrated to have lesser mean squared error than ridge estimator and ordinary least squares estimator, however, it may carry
Chaubey, Yogendra P.   +2 more
openaire   +2 more sources

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

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