Recent Trends in Computational Research on Diseases

Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of expe...

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Dettagli Bibliografici
Enti autori: Altaf-Ul-Amin, Md., Kanaya, Shigehiko, Ono, Naoaki, Huang, Ming
Natura: Livro
Lingua:Inglês
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2022
Soggetti:
bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
water temperature
bathing
ECG
heart rate variability
quantitative analysis
t-test
hypertrophic cardiomyopathy
data mining
automated curation
molecular mechanisms
atrial fibrillation
sudden cardiac death
heart failure
left ventricular outflow tract obstruction
cardiac fibrosis
myocardial ischemia
compound–protein interaction
Jamu
machine learning
drug discovery
herbal medicine
data augmentation
deep learning
ECG quality assessment
drug–target interactions
protein–protein interactions
chronic diseases
drug repurposing
maximum flow
adenosine methylation
m6A
RNA modification
neuronal development
genetic variation
copy number variants
disease-related traits
sequential order
association test
blood pressure
cuffless measurement
longitudinal experiment
plethysmograph
nonlinear regression
n/a
Accesso online:https://directory.doabooks.org/handle/20.500.12854/81117
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