Results 171 to 180 of about 107,685 (262)

A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment

open access: yesAdvanced Science, EarlyView.
MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu   +15 more
wiley   +1 more source

Multi‐Layer Transcriptomic Comparison Across Human, Pig, and Mouse Informs Tissue‐ and Trait‐Specific Animal Model Selection

open access: yesAdvanced Science, EarlyView.
We integrated RNA‐seq data from humans, pigs, and mice across 15 matched tissues based on 14 910 one‐to‐one orthologous genes. Cross‐species similarity was systematically evaluated across multiple regulatory layers, including global co‐expression conservation, co‐expression networks, tissue‐specific programs, and 3D genome architecture.
Jingwen Dou   +21 more
wiley   +1 more source

Bootstrap, an alternative to Monte Carlo simulation

open access: yes, 1998
The Monte Carlo simulation is a commonly used technique for circuit analysis, but is computationally expensive.
Chalk, C.D., Zwolinski, M., Yang, Z.R.
core  

Bio‐Memristor Based on Clinical Bile Samples: A Proof‐of‐Concept Pilot Study for Detection of Gallbladder Cancer

open access: yesAdvanced Science, EarlyView.
In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu   +17 more
wiley   +1 more source

Bootstrap correcting the score test [PDF]

open access: yes
The Lagrange multiplier test, or score test, suggested independently by Aitchison and Silvey (1958) and Rao (1948), tests for parametric restrictions. Although the score test is an intuitively appealing and often used procedure, the exact distribution of
Dirk Hoorelbeke
core  

Non‐Coding Transcripts From Diversified Members of IgLec Family Protect Antiviral Effectors From Viral miRNA

open access: yesAdvanced Science, EarlyView.
The IgLec gene family generates both protein‐coding antiviral effectors and non‐coding transcripts. Upon viral infection, non‐coding transcripts are preferentially targeted by viral miR‐N48, thereby buffering protein‐coding isoforms from repression. Depletion of these decoy transcripts compromises antiviral defense, revealing a non‐coding RNA‐mediated ...
Ying Huang   +5 more
wiley   +1 more source

Test for long memory processes. A bootstrap approach [PDF]

open access: yes
Many time series in diverse fields have been found to exhibit long memory. This paper analyzes the behavior of some of the most used tests for long memory: the R/S or rescaled R/S, the GPH (Geweke and Porter-Hudak) and the DFA (Detrended Fluctuation ...
Pilar Grau-Carles
core  

Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia

open access: yesAdvanced Science, EarlyView.
The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song   +13 more
wiley   +1 more source

Wild bootstrap versus moment-oriented bootstrap [PDF]

open access: yes, 1997
We investigate the relative merits of a moment-oriented bootstrap method of Bunke (1997) in comparison with the classical wild bootstrap of Wu (1986) in nonparametric heteroscedastic regression situations. The moment-oriented bootstrap is a wild bootstrap based on local estimators of higher order error moments that are smoothed by kernel smoothers.
openaire   +2 more sources

Bootstrap Testing in Nonlinear Models [PDF]

open access: yes
When a model is nonlinear, bootstrap testing can be expensive because of the need to perform at least one nonlinear estimation for every bootstrap sample.
Russell Davidson, James G. MacKinnon
core  

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