Results 51 to 60 of about 922,615 (281)
Ensemble Estimation of Information Divergence †
Entropy, 2018 Recent work has focused on the problem of nonparametric estimation of information divergence functionals between two continuous random variables. Many existing approaches require either restrictive assumptions about the density support set or difficult ...
Kevin R. Moon +3 more
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Molecular Oncology, EarlyView.Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Convergence rates of eigenvalue problems in perforated domains: the case of small volume
Advanced Nonlinear StudiesThis paper is concerned with the Dirichlet eigenvalue problem for Laplace operator in a bounded domain with periodic perforation in the case of small volume.
Shen Zhongwei, Zhuge Jinping
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Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular 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
Improved Convergence Rates for Distributed Resource Allocation
, 2018 In this paper, we develop a class of decentralized algorithms for solving a convex resource allocation problem in a network of $n$ agents, where the agent objectives are decoupled while the resource constraints are coupled.
Nedić, Angelia +2 more
core +1 more source
Convergence rate of Krasulina estimator [PDF]
Statistics & Probability Letters, 2019 Principal component analysis (PCA) is one of the most commonly used statistical procedures with a wide range of applications. Consider the points $X_1, X_2,..., X_n$ are vectors drawn i.i.d. from a distribution with mean zero and covariance $ $, where $ $ is unknown. Let $A_n = X_nX_n^T$, then $E[A_n] = $. This paper consider the problem of finding
openaire +3 more sources
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source
Second Moment Convergence Rates for Uniform Empirical Processes
Journal of Inequalities and Applications, 2010 Let be a sequence of independent and identically distributed -distributed random variables. Define the uniform empirical process as , . In this paper, we get the exact convergence rates of weighted infinite series of .
Chen You-You, Zhang Li-Xin
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A kind of univariate improved Shepard-Euler operators
Open MathematicsIn this paper, a kind of univariate Shepard-Euler operators is studied by combining the known Shepard operator with the generalized Taylor polynomial as the expansion in the Euler polynomials.
Wu Ruifeng
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Pairwise Learning With Gaussian Empirical Gain Function
IEEE AccessThis article investigate the performance of Gaussian Empirical Gain Maximization (EGM) in a regression setting and conduct a detailed theoretical analysis, particularly in the presence of heavy-tailed noise, where this article establish improved ...
Gongli Chen, Qian Sun, Shouyou Huang
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