Results 111 to 120 of about 291,396 (287)
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang +7 more
wiley +1 more source
Maintaining Parameter Invariance in Censored Micro-Level Data [PDF]
Research Methods/ Statistical Methods,
Eales, James S. +2 more
core +1 more source
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin +16 more
wiley +1 more source
ABSTRACT Africa's cultural and colonial heritage has profoundly segmented rice markets. Whereas in ancient centers of rice domestication, consumers maintained preferences for local rice consistent with their cultural heritage, preferences have shifted toward imported Asian rice in coastal areas around seaports, due to prior exposure to colonial import ...
Kofi Britwum, Matty Demont
wiley +1 more source
We propose a new random change point model that utilizes routinely recorded individual-level HIV viral load data to estimate the timing of antiretroviral therapy (ART) initiation in people living with HIV.
Hongbin Zhang +6 more
doaj +1 more source
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo +5 more
wiley +1 more source
This paper proposed a novel accelerated failure time (AFT) model based on the weighted Topp-Leone Weibull (WTLW) distribution, designed for robust survival analysis under censored and uncensored actuarial and biomedical data.
Mohamed Ibrahim +5 more
doaj +1 more source
Linear regression model with a randomly censored predictor:Estimation procedures
We consider linear regression model estimation where the covariate of interest is randomly censored. Under a non-informative censoring mechanism, one may obtain valid estimates by deleting censored observations.
Atem, Folefac, Matsouaka, Roland A.
core

