Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.
Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.
Addressing important clinical questions in cancer research will benefit from expanding computational biology.
The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.
"Sinopsis" puede pertenecer a otra edición de este libro.
Igor Jurisica, PhD
Dr. Jurisica is a Canada Research Chair in Integrative Computational Biology, a Scientist at the Ontario Cancer Institute, University Health Network since 2000, Associate Professor in the Departments of Computer Science and Medical Biophysics, University of Toronto, Adjunct Professor at School of Computing Science, Queen's University, and a Visiting Scientist at the IBM Centre for Advanced Studies. He earned his Dipl. Ing. degree in Computer Science and Engineering from the Slovak Technical University in 1991, M.Sc. and Ph.D. in Computer Science from the University of Toronto in 1993 and 1998 respectively. Dr. Jurisica's research focuses on computational biology, and representation, analysis and visualization of high dimensional data generated by high-throughput biology experiments. Of particular interest is the use of comparative analysis for the mining of integrated datasets such as protein―protein interaction, gene expression profiling, and high-throughput screens for protein crystallization.
Dennis A. Wigle, MD, PhD
Since August 2006, Dennis Wigle has been a clinician-scientist at the Mayo Clinic Cancer Center in Rochester Minnesota. He is a practicing thoracic surgeon with an interest in thoracic oncology. His laboratory investigates the genetic basis and molecular sequence of events underlying thoracic malignancies. He holds an MD from the University of Toronto and a PhD from the Department of Anatomy and Cell Biology at Queen's University in Kingston, Canada. His interests include the application of novel computational methods to the analysis of high-throughput data in cancer biology.
Bill Wong, BSc, MBA
Bill Wong has an extensive background is software deployment technologies and has been working with a variety of database technologies. Some of his previous roles included being the Information Management product manager for Life Sciences, Linux, and Grid solutions. His current roleis Program Director for Advanced Database Competitive Technologies at IBM. He works out of the Toronto Lab and can often be found speaking at conferences on information management future trends and directions.
Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.
Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.
Addressing important clinical questions in cancer research will benefit from expanding computational biology.
The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.
Series editor comments:
"Cancer informatics has become a critical component of modern investigations. A combination of system's biology and the magnitude of data sets associated with cancer research require sophisticated technologies to manage the broad spectrum of collective knowledge. This text provides a comprehensive review of the field presented by leaders in the discipline."
Steven T. Rosen, M.D.
Series Editor
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 19,49 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoLibrería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Assesses methods and systems for acquisition, processing, and interpretation of patient dataProvides necessary methodology and practical information toolsIntegrates research and clinical care, data sharing, and establishing partnerships wit. Nº de ref. del artículo: 4174695
Cantidad disponible: Más de 20 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools for analyzing data in the field of medical information science. This, of course, requires analytic tools. Those tools are garnered by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Key challenges in this field include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment. 204 pp. Englisch. Nº de ref. del artículo: 9781441943446
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.Addressing important clinical questions in cancer research will benefit from expanding computational biology.The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true 'personalized medicine' where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear. Nº de ref. del artículo: 9781441943446
Cantidad disponible: 1 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.Addressing important clinical questions in cancer research will benefit from expanding computational biology.The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true 'personalized medicine' where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Nº de ref. del artículo: 9781441943446
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 204. Nº de ref. del artículo: 263079392
Cantidad disponible: 4 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 324. Nº de ref. del artículo: C9781441943446
Cantidad disponible: Más de 20 disponibles
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Mar2411530295809
Cantidad disponible: Más de 20 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 204 30 Illus. (20 Col.). Nº de ref. del artículo: 5849919
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 204. Nº de ref. del artículo: 183079402
Cantidad disponible: 4 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781441943446_new
Cantidad disponible: Más de 20 disponibles