Results 191 to 200 of about 24,126 (306)

Gene expression signatures from single‐cell transcriptomics predict Sjögren's syndrome

iMetaOmics, EarlyView.
A machine learning‐based 12‐gene signature (SjS.Sig) was developed from scRNA‐seq data of PBMCs from Sjögren's syndrome patients. The model was validated using bulk RNA‐seq datasets and further confirmed through flow cytometry and qPCR analysis in an independent clinical cohort, demonstrating robust diagnostic potential.
Shumin Cheng, Ling Yan, Yilin Wu, Yan Li, Ziheng Ye, Zhen Zhang, Yi Zhang, Jingyun Ma, Yuhong Liang, Zhaofan Luo, Huacheng Wang, Meili Gao, Chao Qin, Ke Zhu, Yun Leng, Kamran Ullah, Jun Liang, Haiyan Yan, Guan Yang, Yingqian Mo, Bihui Huang   +20 more
wiley   +1 more source

Image super resolution via non-local normalized graph Laplacian regularization

, 2019
Given we live in a digital age where images are regularly being viewed, posted, or utilized, spectators of such images on occasion could prefer a higher resolution perspective.
Falconer, Cory
core  

Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization. [PDF]

Comput Struct Biotechnol J
Shi Z, Wang Y, Weerawarna PM, Richardson TI, Zhang J, Wang Y, Huang K.   +6 more
europepmc   +1 more source

A Joint Test of Unconfoundedness and Common Trends

Journal of Applied Econometrics, EarlyView.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source

Multi-Omics Data Integration Clustering for Cancer Subtypes Identification Based on Motif High-Order Similarity Graph and Tensor Regularization. [PDF]

Genes (Basel)
Yan H, Hu F.
europepmc   +1 more source

Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores

JCPP Advances, EarlyView.
Abstract Background Children who show difficult temperament are at risk of peer victimisation, which in turn associates with numerous negative outcomes later in life. We used network analysis to examine whether specific aspects of difficult temperament contributed to these associations, and whether the links were moderated by variations in genetic ...
Tom C.‐H. Wu, Deniz Konac, Liliana Garcia‐Mondragon, Alex F. Martin, Barbara Maughan, Ted Barker   +5 more
wiley   +1 more source

Time series-based forecasting of infectious disease outbreak using information systems in public health. [PDF]

Front Public Health
Du M.
europepmc   +1 more source

Sleep disturbance as a transdiagnostic marker of children's mental health difficulties: A network analysis of item‐level associations between different types of sleep problems and different behavioural and emotional symptoms

JCPP Advances, EarlyView.
Abstract Background Sleep disturbances are widely considered to be a transdiagnostic feature of common behavioural and emotional difficulties in childhood, yet most studies treat sleep as a single construct. Where studies have explored specific sleep problems to psychopathology in children, these tend to only include behavioural or emotional ...
Alina A. Marinca, Julia E. Michalek, Alice M. Gregory, Afia Ali, Jennifer Y. F. Lau   +4 more
wiley   +1 more source

A Channel-Independent Anchor Graph-Regularized Broad Learning System for Industrial Soft Sensors. [PDF]

Entropy (Basel)
Zhang Z, Yang M, Xie C, Xu Z, Yin P.
europepmc   +1 more source

Harnessing personal and social resources in managing internalising and externalising symptoms in children living in low‐resource settings

JCPP Advances, EarlyView.
Abstract Background Children growing up in low‐resource settings are at greater risk for lifelong psychiatric problems. They are both more likely to have risk factors for early psychopathology and to be less likely to seek help and engage support for these problems.
Julia E. Michalek, Kathryn Bates, Francois van Loggerenberg, Dennis Ougrin, Jennifer Y. F. Lau   +4 more
wiley   +1 more source