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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Altaf-Ul-Amin, Md. edt Recent Trends in Computational Research on Diseases Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (130 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level. English Technology: general issues bicssc History of engineering & technology bicssc 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 3-0365-3230-7 3-0365-3231-5 Kanaya, Shigehiko edt Ono, Naoaki edt Huang, Ming edt Altaf-Ul-Amin, Md. oth Kanaya, Shigehiko oth Ono, Naoaki oth Huang, Ming oth |
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English |
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author2 |
Kanaya, Shigehiko Ono, Naoaki Huang, Ming Altaf-Ul-Amin, Md. Kanaya, Shigehiko Ono, Naoaki Huang, Ming |
author_facet |
Kanaya, Shigehiko Ono, Naoaki Huang, Ming Altaf-Ul-Amin, Md. Kanaya, Shigehiko Ono, Naoaki Huang, Ming |
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m a u mau s k sk n o no m h mh |
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HerausgeberIn HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige Sonstige |
title |
Recent Trends in Computational Research on Diseases |
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Recent Trends in Computational Research on Diseases |
title_full |
Recent Trends in Computational Research on Diseases |
title_fullStr |
Recent Trends in Computational Research on Diseases |
title_full_unstemmed |
Recent Trends in Computational Research on Diseases |
title_auth |
Recent Trends in Computational Research on Diseases |
title_new |
Recent Trends in Computational Research on Diseases |
title_sort |
recent trends in computational research on diseases |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (130 p.) |
isbn |
3-0365-3230-7 3-0365-3231-5 |
illustrated |
Not Illustrated |
work_keys_str_mv |
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(CKB)5680000000037726 (oapen)https://directory.doabooks.org/handle/20.500.12854/81117 (EXLCZ)995680000000037726 |
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Recent Trends in Computational Research on Diseases |
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