Results 111 to 120 of about 396,010 (290)

Bayesian comparison of latent variable models: Conditional vs marginal likelihoods

, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters.
Furr, D., Merkle, E. C., Rabe-Hesketh, S.   +2 more
core   +1 more source

Activated Platelet–Released Heat Shock Protein 90α Triggers Autophagy‐Dependent Neutrophil Extracellular Trap Formation and Amplifies Sepsis

Advanced Science, EarlyView.
HSP90α is significantly upregulated in platelets from sepsis patients, with its origin from megakaryocyte‐derived trafficking. Furthermore, activated platelets secrete HSP90α into the extracellular space in both free and exosome‐associated forms. Finally, extracellular HSP90α directly engages TLR4 on neutrophils to induce autophagy, leading to NET ...
Chengbo Wang, Maodong Leng, Chenchen Sun, Jingyu Cao, Linfei Li, Yangyang Jia, Yongshuai Han, Yuchun Liu, Yaodong Zhang, Chenglong Zhang, Yingli Men, Ningyuan Liu, Yibing Cheng, Yixia Zhang, Ya Li, Zhenlong Li, Lidan Cui, Xiangzhan Zhu   +17 more
wiley   +1 more source

cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data

Advanced Science, EarlyView.
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao, Yadong Liu, Miao Cui, Runtian Gao, Weimin Guo, Guohua Wang, Yadong Wang, Tao Jiang   +7 more
wiley   +1 more source

Selection of the Informative Base in ARMA-GARCH Models [PDF]

In this paper we consider the selection of the information set in ARMA-GARCH models using the methodology proposed in Muñoz et al. (2001) based on ideas of Phillips (1996). To that end, we analyse the performance of some selection criteria asymptotically
Laura Muñoz, Manuel Salvador, Pilar Olave   +2 more
core  

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source

Intrinsic PPG–ECG Coupling for Accurate and Low‐Power Blood Pressure Monitoring

Advanced Science, EarlyView.
A PPG–ECG coupling strategy for continuous blood pressure monitoring that intrinsically synchronizes signals within a single waveform is demonstrated, minimizing synchronization errors and hardware complexity. This approach halves power consumption while maintaining high accuracy, enabling compact, energy‐efficient wearable devices for personalized ...
Sitong Chen, Hua Luo, Zhentao Yao, Zhou Jiang, Xiaodong Wu, Hanmin Liu   +5 more
wiley   +1 more source

The Best Fit Bayesian Hierarchical Generalized Linear Model Selection Using Information Complexity Criteria in the MCMC Approach

Journal of Mathematics
Both frequentist and Bayesian statistics schools have improved statistical tools and model choices for the collected data or measurements. Model selection approaches have advanced due to the difficulty of comparing complicated hierarchical models in ...
Endris Assen Ebrahim, Mehmet Ali Cengiz, Erol Terzi   +2 more
doaj   +1 more source

Performance comparison of model selection criteria by generated experimental data

ITM Web of Conferences, 2018
In Bioinformatics and other areas the model selection is a process of choosing a model from set of candidate models of different classes which will provide the best balance between goodness of fitting of the data and complexity of the model.
Mavrevski Radoslav, Milanov Peter, Traykov Metodi, Pencheva Nevena   +3 more
doaj   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

Advanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang, Xuedong Wang, Mengyao Wang, Qian Zhou, Lusheng Wang, Shuai Cheng Li   +5 more
wiley   +1 more source