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 …
Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods
Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …
60 years, and a great number of methods have been proposed and applied to many …
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 …
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 …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
advancement, inherent genetic composition, and diversity of cardiovascular diseases …