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Cancer Bioinformatics - Ying Xu, Juan Cui, David Puett

Cancer Bioinformatics

Buch | Softcover
368 Seiten
2016 | Softcover reprint of the original 1st ed. 2014
Springer-Verlag New York Inc.
978-1-4939-4303-6 (ISBN)
CHF 74,85 inkl. MwSt
This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics.
This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.

Basic cancer biology.- Omic data, information derivable and computational needs.- Cancer classification and molecular signature identification.- Understanding cancer at the genomic level.- Elucidation of cancer divers through comparative omic analyses.- Hyaluronic acid: A key facilitator of cancer evolution.- Multiple routes for survival: Understanding how cancer evades apoptosis.- Cancer development in competitive and hostile environments.- Cell proliferation from regulated to deregulated state via epigenomic responses.- Understanding cancer invasion and metastasis.- Cancer after metastasis: The second transformation.- Searching for cancer biomarkers in human body fluids.- In silico investigation of cancer using publicly available data.- Understanding cancer as an evolving complex system: our perspective.

Erscheinungsdatum
Zusatzinfo 68 Illustrations, black and white; XXVI, 368 p. 68 illus.
Verlagsort New York
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Informatik Weitere Themen Bioinformatik
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
Naturwissenschaften Biologie
Schlagworte Bioinformatics • Cancer bioinformatics • Cancer Biology • Cancer genomes • Cancer marker identification • Cancer omic data analysis • Cancer pathway analysis • Cancer systems biology • Comparative omic analysis • Computational Biology • Omic databases
ISBN-10 1-4939-4303-0 / 1493943030
ISBN-13 978-1-4939-4303-6 / 9781493943036
Zustand Neuware
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