Gene co-expression networks (GCNs) are constructed from Gene Expression Matrices (GEMs) in a bottom up approach where all gene pairs are tested for correlation within the context of the input sample set.This approach is computationally intensive for many current GEMs and may not be scalable to millions of samples.Further, traditional GCNs do not de
Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study
Stroke is one of the leading causes of permanent disability in adults.The literature suggests that rehabilitation is key to early motor recovery.However, conventional therapy is labor and cost intensive.Robotic and functional electrical stimulation (FES) devices can provide a high dose of repetitions and as such may provide an alternative, or an ad
A Novel Lightweight Anonymous Proxy Traffic Detection Method Based on Spatio-Temporal Features
Anonymous proxies are used by criminals for illegal network activities due to their anonymity, such as Bolts data theft and cyber attacks.Therefore, anonymous proxy traffic detection is very essential for network security.In recent years, detection based on deep learning has become a hot research topic, since deep learning can automatically extract
SarS and Rot are necessary for the repression of lukED and lukSF-PV in Staphylococcus aureus
ABSTRACT Staphylococcus aureus is an opportunistic pathogen that employs an array of different virulence factors to evade the immune system.The bi-component pore-forming leukocidins are of particular importance for their ability to target and kill phagocytes.The operon of two of these toxins, lukED and lukSF-PV, are repressed by two proteins, SarS