Results 121 to 130 of about 2,248,018 (313)
Bayesian Multi-SNP Genetic Association Analysis: Control of FDR and Use of Summary Statistics
bioRxiv, 2018 Multi-SNP genetic association analysis has become increasingly important in analyzing data from genome-wide association studies (GWASs) and molecular quantitative trait loci (QTL) mapping studies.
Yeji Lee +3 more
semanticscholar +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Advanced Science, EarlyView.Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
Honorary Lecture on S. James Press and Bayesian Analysis [PDF]
S. James Press's many contributions to statistical research, lecturing, mentoring students, the statistics profession, etc. are summarized. Then some new developments in Bayesian analysis are described and remarks on the future of Bayesian analysis are ...
Arnold Zellner
core +1 more source
International Conference on Human Factors in Computing Systems, 2016 A core tradition of HCI lies in the experimental evaluation of the effects of techniques and interfaces to determine if they are useful for achieving their purpose.
Matthew Kay +2 more
semanticscholar +1 more source
Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia
Advanced Science, EarlyView.A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman +3 more
wiley +1 more source
Bihdāsht-i Mavādd-i Ghaz̠āyīEffective disease management and control depend on robust surveillance systems. Given the importance of slaughterhouses for public health, this retrospective study investigated the prevalence of Cysticercus bovis and macroscopic cysts of Sarcocystis in ...
Azadeh Rashidimehr +3 more
doaj
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 +11 more
wiley +1 more source
Robust Bayesian inference in elliptical regression models [PDF]
Bayesian ...
Osiewalski, J., Steel, M.F.J.
core +1 more source
Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
Advanced Science, EarlyView.This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source