Results 141 to 150 of about 539,449 (277)
IL‐4/IL‐13/STAT6 signaling plays a crucial for the suppression of pro‐inflammation during acute pancreatitis and supports acinar cell regeneration but has only minor impact on fibrogenesis during chronic form of the disease. IL‐4/IL‐13 induce the expression of certain collagens directly in pancreatic fibroblasts via STAT6 activation, whereas ...
ElSheikh H +13 more
wiley +1 more source
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source
Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection. [PDF]
Williams DR +3 more
europepmc +1 more source
This study clarifies the genetic patterns of paternal lineages across East Asia and Mainland Southeast Asia. Han populations are relatively homogeneous, whereas southern ethnolinguistic minorities display regional structures. Shared Y‐chromosome lineages indicate Neolithic expansions and extensive north‐south gene flow, supporting demic diffusion ...
Yunhui Liu +15 more
wiley +1 more source
Bayesian model selection for variable-coefficient partial differential equation discovery
Data-driven discovery of partial differential equations (PDEs) has emerged as a promising approach for identifying underlying physics when domain knowledge about observed data is limited. Despite recent progress, the identification of governing equations
Pongpisit Thanasutives +2 more
doaj +1 more source
Computational Efficiency in Bayesian Model and Variable Selection [PDF]
This paper is concerned with the efficient implementation of Bayesian model averaging (BMA) and Bayesian variable selection, when the number of candidate variables and models is large, and estimation of posterior model probabilities must be based on a ...
Jana Eklund, Sune Karlsson
core +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang +4 more
wiley +1 more source
Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics. [PDF]
Choi K, Chen Y, Skelly DA, Churchill GA.
europepmc +1 more source
Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
wiley +1 more source

