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Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.
- Source :
-
Circulation research [Circ Res] 2018 Apr 27; Vol. 122 (9), pp. 1290-1301. - Publication Year :
- 2018
-
Abstract
- In the digital age of cardiovascular medicine, the rate of biomedical discovery can be greatly accelerated by the guidance and resources required to unearth potential collections of knowledge. A unified computational platform leverages metadata to not only provide direction but also empower researchers to mine a wealth of biomedical information and forge novel mechanistic insights. This review takes the opportunity to present an overview of the cloud-based computational environment, including the functional roles of metadata, the architecture schema of indexing and search, and the practical scenarios of machine learning-supported molecular signature extraction. By introducing several established resources and state-of-the-art workflows, we share with our readers a broadly defined informatics framework to phenotype cardiovascular health and disease.<br /> (© 2018 American Heart Association, Inc.)
- Subjects :
- Abstracting and Indexing
Big Data
Cardiology methods
Data Mining
Databases as Topic
Gene Expression Profiling
Humans
Machine Learning
Metabolic Networks and Pathways
Phenotype
Precision Medicine methods
Precision Medicine trends
PubMed
Software
Workflow
Cardiology trends
Cardiovascular Diseases genetics
Cloud Computing
Computational Biology
Subjects
Details
- Language :
- English
- ISSN :
- 1524-4571
- Volume :
- 122
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Circulation research
- Publication Type :
- Academic Journal
- Accession number :
- 29700073
- Full Text :
- https://doi.org/10.1161/CIRCRESAHA.117.310967