Recent Trends in Computational Research on Diseases

• Andere auteurs: Altaf-Ul-Amin, Md (Redacteur), Kanaya, Shigehiko (Redacteur), Ono, Naoaki (Redacteur), Huang, Ming (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Technology: general issues; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...