Advances in Biomedical Infrastructure 2013 Proceedings of International Symposium on Biomedical Data Infrastructure (BDI 2013) / [electronic resource] :
edited by Amandeep S. Sidhu, Sarinder K Dhillon.
- VIII, 139 p. 51 illus. online resource.
- Studies in Computational Intelligence, 477 1860-949X ; .
- Studies in Computational Intelligence, 477 .
From the Contents: Integrative approaches for Drug discovery - PPAR gamma as a case study -- Biomedical Informatics and the Future of Medicine -- Inferring E. coli SOS Response Pathway from Gene Expression Data Using IST-DBN with Time Lag Estimation -- Framework for Biodiversity Information Retrieval in Malaysia -- Using Ant Colony Optimization (ACO) on Kinetic Modeling of the Acetoin Production in Lactococcus lactis C7.
Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.
9783642371370
10.1007/978-3-642-37137-0 doi
Engineering.
Computational intelligence.
Biomedical engineering.
Engineering.
Computational Intelligence.
Biomedical Engineering.
Q342
006.3
From the Contents: Integrative approaches for Drug discovery - PPAR gamma as a case study -- Biomedical Informatics and the Future of Medicine -- Inferring E. coli SOS Response Pathway from Gene Expression Data Using IST-DBN with Time Lag Estimation -- Framework for Biodiversity Information Retrieval in Malaysia -- Using Ant Colony Optimization (ACO) on Kinetic Modeling of the Acetoin Production in Lactococcus lactis C7.
Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.
9783642371370
10.1007/978-3-642-37137-0 doi
Engineering.
Computational intelligence.
Biomedical engineering.
Engineering.
Computational Intelligence.
Biomedical Engineering.
Q342
006.3