Search
Search Results
-
RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction
BackgroundDrug repositioning is a very important task that provides critical information for exploring the potential efficacy of drugs. Yet...
-
Dry season residual straw reduces nitrous oxide emissions during rice season in upland-paddy rotation systems by inhibiting soil denitrification
The mechanism by which residual straw incorporation affects nitrous oxide (N 2 O) and carbon dioxide equivalent (CO 2 -eq) emissions throughout the rice...
-
Computational drug repositioning using meta-path-based semantic network analysis
BackgroundDrug repositioning is a promising and efficient way to discover new indications for existing drugs, which holds the great potential for...
-
Habitat connectivity of threatened ungulate species in a native savanna landscape of northern South America
The native savanna ecosystem of the Orinoquia region is the habitat of 50% of the wild ungulate species reported for Colombia. Over the last...
-
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model
BackgroundMany studies prove that miRNAs have significant roles in diagnosing and treating complex human diseases. However, conventional biological...
-
Combined embedding model for MiRNA-disease association prediction
BackgroundCumulative evidence from biological experiments has confirmed that miRNAs have significant roles to diagnose and treat complex diseases....
-
Metapath-Based Deep Convolutional Neural Network for Predicting miRNA-Target Association on Heterogeneous Network
Predicting the interactions between microRNAs (miRNAs) and target genes is of great significance for understanding the regulatory mechanism of miRNA...
-
Tract-specific statistics based on diffusion-weighted probabilistic tractography
Diffusion-weighted neuroimaging approaches provide rich evidence for estimating the structural integrity of white matter in vivo, but typically do...
-
NEDD: a network embedding based method for predicting drug-disease associations
BackgroundDrug discovery is known for the large amount of money and time it consumes and the high risk it takes. Drug repositioning has, therefore,...
-
Self-perceptions as mechanisms of achievement inequality: evidence across 70 countries
Children from lower socioeconomic status (SES) backgrounds tend to have more negative self-perceptions. More negative self-perceptions are often...
-
Transkingdom Network Analysis (TkNA): a systems framework for inferring causal factors underlying host–microbiota and other multi-omic interactions
We present Transkingdom Network Analysis (TkNA), a unique causal-inference analytical framework that offers a holistic view of biological systems by...
-
Evaluating and improving the representation of bacterial contents in long-read metagenome assemblies
BackgroundIn the metagenomic assembly of a microbial community, abundant species are often thought to assemble well given their deeper sequencing...
-
A network-based approach to uncover microRNA-mediated disease comorbidities and potential pathobiological implications
Disease–disease relationships (e.g., disease comorbidities) play crucial roles in pathobiological manifestations of diseases and personalized...
-
A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder
BackgroundAutism spectrum disorder (ASD) is a serious developmental disorder of the brain. Recently, various deep learning methods based on...
-
Coral reef potential connectivity in the southwest Indian Ocean
The tropical southwest Indian Ocean is a coral biodiversity hotspot, with remote reefs physically connected by larval dispersal through eddies and a...
-
AMPFLDAP: Adaptive Message Passing and Feature Fusion on Heterogeneous Network for LncRNA-Disease Associations Prediction
Exploration of the intricate connections between long noncoding RNA (lncRNA) and diseases, referred to as lncRNA-disease associations (LDAs), plays a...
-
Navigation System for Autonomous Agricultural Vehicles for Indoor Farms
Simultaneous Localization and Map** (SLAM) is a fundamental technology in autonomous driving and refers to realizing autonomation and intelligent...
-
Metabolic Potential of Serratia sp. 22S for Chlorphenoxyacetic Acids Conversion
AbstractA bacterial strain 22S belonging to the genus Serratia was isolated from soil samples contaminated with chemical production wastes. The...
-
Predicting drug–protein interactions by preserving the graph information of multi source data
Examining potential drug–target interactions (DTIs) is a pivotal component of drug discovery and repurposing. Recently, there has been a significant...
-
Canopy gap impacts on soil organic carbon and nutrient dynamic: a meta-analysis
Key messageThe forest canopy gaps, formed by natural or anthropogenic factors, have been found to reduce soil carbon content and increase nutrient...
