This groundbreaking biomedical informatics resource offers step-by-step guidance on innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms, as well as from the public domain. This unique book details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from "bench to bedside" and "bedside to bench" with never-before efficiency.
Taking a systems-oriented approach, the book offers insight into how to conduct biomedical informatics research at the clinical and molecular levels, with detailed guidelines on study design, IRB protocol development, questionnaire design, specimen collection, and other procedures and applications. Readers learn the latest data integration and federation approaches, and explore potential new data analysis and mining methodologies for tackling problems that cannot be readily resolved using current technologies. Moreover, this pioneering work includes in-depth examples, demonstrating how to develop tools for specific biomedical informatics tasks.