Biomedical informatics in translational research / Hai Hu, Richard J. Mural, Michael N. Liebman, editors.
Material type:
TextSeries: Artech House series bioinformatics & biomedical imagingPublication details: Boston : Artech House, c2008.Description: xiv, 264 p. : ill. ; 27 cmISBN: - 9781596930384
- 1596930381
- 610.285 22
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Main library General Stacks | 610.285 /HU.B 2008 (Browse shelf(Opens below)) | 1 | Available | 004404 |
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| 610.285 / BE.R 2008 Ruby programming for medicine and biology / | 610.285 / FL.B 2008 Bioinformatics programming in Python : | 610.285 / HO.P 2007 Project management for healthcare informatics / | 610.285 /HU.B 2008 Biomedical informatics in translational research / | 610.285 / KU.H 2010 Healthcare informatics : | 610.285 / LE.R 2010 R for medicine and biology / | 610.3 / HI.H REF 2008 Hitti’s new medical dictionary, English-Arabic : |
Includes bibliographical references and index.
Biomedical Informatics in Translational Research -- The Clinical Perspective -- Tissue Banking: Collection, Processing, and Pathologic Characterization of Biospecimens for Research -- Biological Perspective -- Genomics Studies -- Proteomics -- Data Tracking Systems -- Data Centralization -- Data Analysis -- Research and Application: Examples -- Clinical Examples: A Biomedical Informatics Approach .
This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It 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.Filling the need for informatics applications that bridge the clinical-basic domains and facilitate the bi-directional flow of research, this definitive volume offers a systems-oriented approach to the subject that complements the traditional bottom-up approach of systems biology
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