
Leveraging Biomedical and Healthcare Data
Semantics, Analytics and Knowledge
Description
Key Features
- 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
Readership
Bioinformaticians; graduate students in systems biology; members of biomedical field interested in data mining and data integration technologies
Table of Contents
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 dataPart II Guiding Health Care Decisions Using Big Data
6. Towards a unified version of EMR corpora and data systems
7. Natural language processing and computational linguistics in EMR analysis
8. Orienting infectious disease management using Big Data
9. Modeling disease burden using big data
10. Automated diagnosis and risk factor prediction based on natural language processingPart III Online Repositories and In-Silico Research in the Era of Big Data
11. Curating a brain connectome using Big Data
12. Genotype and phenotype associations using online clinical repositories – a step-wise approach
13. In-silico pharmacology and cost- and time- effective approaches in drug discovery
14. Guided and semi-automatic approaches for clinical meta-analyses
15. Towards a unified language in molecular big data
Product details
- No. of pages: 225
- Language: English
- Copyright: © Academic Press 2018
- Published: November 23, 2018
- Imprint: Academic Press
- eBook ISBN: 9780128095614
- Paperback ISBN: 9780128095560
About the Editors
Firas Kobeissy

Dr. Kobeissy is the author of more than 75 articles, reviews and book chapters along with two patents. He is a member of the Center of Neuroproteomics and Biomarker Research (CNBR) at the McKnight Brain Institute at the University of Florida. He is the editor of three books (Humana Press and Taylor and Francis); the books deal with biomarker identification and proteomics research. Dr. Kobeissy has published extensively in the areas of systems biology pertaining to the areas of deciphering biomarker and pathways of pathogenesis in brain studies obtained from high throughput proteomics data.
Affiliations and Expertise
Kevin Wang

Affiliations and Expertise
Fadi Zaraket

Affiliations and Expertise
Ali Alawieh
Affiliations and Expertise
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