Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Modelling approaches for studying the microbiome
Advances in metagenome sequencing of the human microbiome have provided a plethora
of new insights and revealed a close association of this complex ecosystem with a range of …
of new insights and revealed a close association of this complex ecosystem with a range of …
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
Background Cardiovascular diseases kill approximately 17 million people globally every
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …
Drug–target affinity prediction using graph neural network and contact maps
Computer-aided drug design uses high-performance computers to simulate the tasks in drug
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods
H Wei, S Zhao, Q Rong, H Bao - International Journal of Heat and Mass …, 2018 - Elsevier
Composite materials have a wide range of engineering applications, and their effective
thermal conductivities are important thermo-physical properties for real applications. The …
thermal conductivities are important thermo-physical properties for real applications. The …
From cloud to edge: a first look at public edge platforms
Public edge platforms have drawn increasing attention from both academia and industry. In
this study, we perform a first-of-its-kind measurement study on a leading public edge …
this study, we perform a first-of-its-kind measurement study on a leading public edge …
A systematic analysis of marine lysogens and proviruses
Y Yi, S Liu, Y Hao, Q Sun, X Lei, Y Wang… - Nature …, 2023 - nature.com
Viruses are ubiquitous in the oceans, exhibiting high abundance and diversity. Here, we
systematically analyze existing genomic sequences of marine prokaryotes to compile a …
systematically analyze existing genomic sequences of marine prokaryotes to compile a …
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
One of the most critical challenges in managing complex diseases like COVID-19 is to
establish an intelligent triage system that can optimize the clinical decision-making at the …
establish an intelligent triage system that can optimize the clinical decision-making at the …
Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity
There is an urgent need to identify which COVID-19 patients will develop life-threatening
illness so that medical resources can be optimally allocated and rapid treatment can be …
illness so that medical resources can be optimally allocated and rapid treatment can be …
Combining conflicting evidence based on Pearson correlation coefficient and weighted graph
Dempster–Shafer evidence theory (evidence theory) has been widely used as an efficient
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …