Results 61 to 70 of about 66,452 (307)

Astrocytic Phenotypic Switching in Posterior Piriform Cortex Orchestrates Bone Cancer Pain–Depression Comorbidity via Purinergic–Noradrenergic Signaling

Advanced Science, EarlyView.
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu, Jun‐Han Zhang, Zhi‐Xuan Tan, Wei‐Bing Yan, Ya‐Ru Yuan, Yao Liu, Bing‐Di Wei, Meng‐Qi Ding, Zhuo‐Min Fu, Ying Liu, An‐Qi Wang, Lin Ma, Yong‐Hong Li, Er‐Qing Chai, Chao‐Jun Wei   +14 more
wiley   +1 more source

Asymptotic Learning Theory for Conditional U–Statistics Based on Delta Sequences Under Missing at Random Mechanisms

Mathematics
This article develops a unified asymptotic theory for conditional U-statistics based on delta-sequence smoothing, thereby extending, in a substantial and conceptually coherent manner, the classical kernel-based framework for localized nonlinear ...
Salim Bouzebda
doaj   +1 more source

Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression

Journal of Statistical Software, 2014
Inference in quantile analysis has received considerable attention in the recent years. Linear quantile mixed models (Geraci and Bottai 2014) represent a ?exible statistical tool to analyze data from sampling designs such as multilevel, spatial, panel or
Marco Geraci
doaj   +1 more source

Radiotherapy Enhances the Oncolytic Efficacy of the Novel Oncolytic Herpesvirus VG161 and Amplifies Its Antitumor Immunity in Breast Cancer

Advanced Science, EarlyView.
RT promotes VG161 replication in BC and its immunostimulatory transgenes expression, which is mediated by the upregulation of GADD34 and HVEM caused by RT. The combination therapy with VG161 and RT increases the abundances of tumor‐infiltrating lymphocytes and elicits potent systemic antitumor immunity, thereby effectively inhibiting local tumors and ...
Lijuan Lyu, Ming Yi, Ji Chen, Zeda Zhao, Ruocen Liao, Yingnan Wang, Shengtao Hu, Jun Ding, Ronghua Zhao, William Jia, Yinan Shen, Yongchang Wei, Kongming Wu, Zhijun Dai   +13 more
wiley   +1 more source

Nonparametric Tests for Conditional Symmetry in Dynamic Models [PDF]

, 2007
This article proposes omnibus tests for conditional symmetry around a parametric function in a dynamic context. Conditional moments may not exist or may depend on the explanatory variables.
Delgado, Miguel A., Escanciano, Juan Carlos   +1 more
core   +1 more source

Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications

Cuadernos de Economía, 2018
This paper presents a new statistical toolkit by applying three techniques for data-driven causal inference from the machine learning community that are little-known among economists and innovation scholars: a conditional independencebased approach ...
Alex Coad
doaj   +1 more source

Prediction-Powered Conditional Inference

CoRR
We study prediction-powered conditional inference in the setting where labeled data are scarce, unlabeled covariates are abundant, and a black-box machine-learning predictor is available. The goal is to perform statistical inference on conditional functionals evaluated at a fixed test point, such as conditional means, without imposing a parametric ...
Yang Sui, Jin Zhou, Hua Zhou, Xiaowu Dai
openaire   +2 more sources

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Beyond conditional averages: Estimating the individual causal effect distribution

Journal of Causal Inference
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J., van den Heuvel Edwin R.   +1 more
doaj   +1 more source

Lilrb4a Suppression Reprograms Microglia to Mitigate APOE4‐Associated Amyloid Plaques and Cerebral Amyloid Angiopathy in Association With a PPAR‐Linked Pro‐Clearance State

Advanced Science, EarlyView.
Targeting Lilrb4a in Apolipoprotein E4 (APOE4)‐associated Alzheimer's disease (AD) reprograms microglia toward a beneficial, phagocytic state. Genetic deletion or antisense inhibition of Lilrb4a suppresses p‐SHP2/NF‐κB/STAT1 signaling, restores PPAR‐linked lipid and energy metabolism, and reduces amyloid plaque burden and cerebral amyloid angiopathy ...
Changxu Nie, Ruixi Yang, Xiaotong Wang, Ping Jia, Xueqi Zhang, Yaqi Dai, Xue Bai, Sijia Duan, Yufeng Li, Peng Zheng, Xin Tian, Li Jiang, Chao Wang   +12 more
wiley   +1 more source