Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes
A comprehensive analysis of relative gene order, or microsynteny, can provide valuable
information for understanding the evolutionary history of genes and genomes, and ultimately …
information for understanding the evolutionary history of genes and genomes, and ultimately …
A comprehensive analysis of multilayer community detection algorithms for application to EEG-based brain networks
Modular organization is an emergent property of brain networks, responsible for sha**
communication processes and underpinning brain functioning. Moreover, brain networks …
communication processes and underpinning brain functioning. Moreover, brain networks …
Human activity is altering the world's zoogeographical regions
Zoogeographical regions, or zooregions, are areas of the Earth defined by species pools
that reflect ecological, historical and evolutionary processes acting over millions of years …
that reflect ecological, historical and evolutionary processes acting over millions of years …
Model-agnostic structural transfer learning for cross-domain autonomous activity recognition
Activity recognition using data collected with smart devices such as mobile and wearable
sensors has become a critical component of many emerging applications ranging from …
sensors has become a critical component of many emerging applications ranging from …
[HTML][HTML] Disrupted functional connectivity of precuneus subregions in obsessive-compulsive disorder
Q Ye, Z Zhang, W Sun, Q Fan, Y Li - NeuroImage: Clinical, 2021 - Elsevier
Obsessive-compulsive disorder (OCD) is a chronic and disabling psychiatric disorder with
high lifetime prevalence, yet the underlying pathogenesis remains not fully understood …
high lifetime prevalence, yet the underlying pathogenesis remains not fully understood …
The optimal setting for multilayer modularity optimization in multilayer brain networks
Community detection plays a key role in the study of brain networks, as mechanisms of
modular integration and segregation are known to characterize the brain functioning …
modular integration and segregation are known to characterize the brain functioning …
Actilabel: A combinatorial transfer learning framework for activity recognition
Sensor-based human activity recognition has become a critical component of many
emerging applications ranging from behavioral medicine to gaming. However, an …
emerging applications ranging from behavioral medicine to gaming. However, an …
Multi-layer analysis of multi-frequency brain networks as a new tool to study EEG topological organization
Oscillatory activity rising from the interaction among neurons is widely observed in the brain
at different scales and is thought to encode distinctive properties of the neural processing …
at different scales and is thought to encode distinctive properties of the neural processing …
[PDF][PDF] Advanced community identification model for social networks
Community detection in social networks is a hard problem because of the size, and the need
of a deep understanding of network structure and functions. While several methods with …
of a deep understanding of network structure and functions. While several methods with …
Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks
The brain's functional networks can be assessed using imaging techniques like functional
magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies …
magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies …