E-Book, Englisch, Band 11, 398 Seiten, eBook
Reihe: Translational Bioinformatics
ISBN: 978-94-017-7543-4
Verlag: Springer Netherland
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
elucidates how genetic, biological and medical information can be applied to
the development of personalized healthcare, medication and therapies. Focusing
on aspects of the development of evidence-based approaches in bioinformatics
and computational medicine, including data integration, methodologies, tools
and models for clinical and translational medicine, it offers an essential
introduction to clinical bioinformatics for clinical researchers and
physicians, medical students and teachers, and scientists working with human disease-based omics and bioinformatics. Dr. Xiangdong
Wang is a distinguished Professor of Medicine. He is Director of Shanghai
Institute of Clinical Bioinformatics, Director of Fudan University Center for
Clinical Bioinformatics, Deputy Director of Shanghai Respiratory Research
Institute, Director of Biomedical Research Center, Fudan University Zhongshan
Hospital, Shanghai, China; Dr. Christian Baumgartner is a Professor of Health
Care and Biomedical Engineering at Institute of Health Care Engineering with
European Notified Body of Medical Devices, Graz University of Technology, Graz,
Austria; Dr. Denis Shields is a Professor of Clinical
Bioinformatics at Conway Institute, Belfield, Dublin, Ireland; Dr. Hong-Wen Deng
is a Professor at Department of Biostatistics and Bioinformatics, Tulane University
School of Public Health and Tropical Medicine, USA; Dr. Jacques S
Beckmann is a Professor and Director of Section of Clinical Bioinformatics,
Swiss Institute of Bioinformatics, Switzerland.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
The Era of Big Data: From Data-driven Research to Data-driven Clinical
Care.- Biostatistics, data mining and computational modeling.- Gene expression
and profiling.- The next generation sequencing and
applications in clinical research.- Clinical epigenetics and epigenomics.- Proteomic
profiling: Data mining and analyses.- Targeted metabolomics: the next
generation of clinical chemistry!?.- Clinical bioinformatics for biomarker
discovery in targeted metabolomics.- Metagenomic Profiling, Interaction of
Genomics with Meta-genomics.- Clinical Epigenetics and Epigenomics.- Integrative
Biological Databases.- Standards and Regulations for (Bio)Medical Software.- Clinical
applications and systems biomedicine.- Key Law and Policy Considerations for
Clinical Bioinformaticians.- Challenges and Opportunities in Clinical
Bioinformatics.- Heterogeneity of Hepatocellular Carcinoma.
