Search
Search Results
-
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning
BackgroundThe historical data of rare disease is very scarce in reality, so how to perform drug repositioning for the rare disease is a great...
-
Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning
BackgroundCompared with the time-consuming and labor-intensive for biological validation in vitro or in vivo, the computational models can provide...
-
Gene regulatory networks in disease and ageing
The precise control of gene expression is required for the maintenance of cellular homeostasis and proper cellular function, and the declining...
-
Tinnitus: A Dimensionally Segregated, yet Perceptually Integrated Heterogeneous Disorder
ObjectivesTinnitus subtypes are proposed to lie on a continuum of different symptom dimensions rather than be categorical. However, there is no...
-
Understanding the relationship between stay-at-home measures and vaccine shortages: a conventional, heterogeneous, and fractional dynamic approach
In light of the global prevalence of a highly contagious respiratory disease, this study presents a novel approach to address the pressing and...
-
A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners
Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics...
-
Functional connectivity of cognition-related brain networks in adults with fetal alcohol syndrome
BackgroundFetal alcohol syndrome (FAS) can result in cognitive dysfunction. Cognitive functions affected are subserved by few functional brain...
-
Identifying circRNA-associated-ceRNA networks in juvenile spondyloarthropathies patients
BackgroundJuvenile spondyloarthropathies (JSpA) are defined as a heterogeneous group of diseases that start before the age of 16. The study aimed to...
-
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism
BackgroundWith the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of...
-
Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy
BackgroundJuvenile myoclonic epilepsy (JME) is characterized by altered patterns of brain functional connectivity (FC). However, the nature and...
-
Predicting neurologic recovery after severe acute brain injury using resting-state networks
ObjectiveThere is a lack of reliable tools used to predict functional recovery in unresponsive patients following a severe brain injury. The...
-
Influential nodes identification in complex networks: a comprehensive literature review
Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and...
-
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites
Integrating real-world data (RWD) from several clinical sites offers great opportunities to improve estimation with a more general population...
-
Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Posttraumatic stress disorder (PTSD) is associated with lower cortical thickness (CT) in prefrontal, cingulate, and insular cortices in diverse...
-
Exercise-Regulated Mitochondrial and Nuclear Signalling Networks in Skeletal Muscle
Exercise perturbs energy homeostasis in skeletal muscle and engages integrated cellular signalling networks to help meet the contraction-induced...
-
Distinct neural networks predict cocaine versus cannabis treatment outcomes
Treatment outcomes for individuals with substance use disorders (SUDs) are variable and more individualized approaches may be needed....
-
Low-dose CT radiomics features-based neural networks predict lymphoma types
BackgroundFluorodeoxyglucose positron emission tomography (PET)–computed tomography (CT) is preferred for pretreatment staging and treatment planning...
-
Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery
Purpose:Frontotemporal lobe dementia (FTD) results from the degeneration of the frontal and temporal lobes. It can manifest in several different...
-
Functional brain networks in the evaluation of patients with neurodegenerative disorders
Network analytical tools are increasingly being applied to brain imaging maps of resting metabolic activity (PET) or blood oxygenation-dependent...
-
Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder
BackgroundAutism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the...
