Leveraging Biomedical and Healthcare Data Semantics, Analytics and Knoledge [Paperback]

Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision.

It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research.

• Includes at each section resource pages containing a list of available curated raw and processed data that can be used by researchers in the field
• Provides demonstrative and relevant examples that serve as a general tutorial
• Presents a list of algorithm names and computational tools available for basic and clinical researchers

Part I Understanding Molecular Architecture of Disease Using Big Data 1. Curation of molecular data pertaining to human cancer and the Cancer Genome Atlas Initiative 2. Merging data from published literature to understand the sequence of disease pathology 3. Predicting potential therapeutic targets using drug-gene and gene-disease associations 4. Combination of graph theory and big data analysis in genomics and proteomics 5. Challenges in sharing, standardization and dissemination of molecular big data

Part II Guiding Health Cals*