Bioinformatics in Cancer and Cancer Therapy / Edition 1

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Overview

Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics; fields of study that have historically existed as mutually exclusive disciplines. Edited by Gavin Gordon, Bioinformatics in Cancer and Cancer Therapy, edited by Gavin Gordon, provides an historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments in order to show how a bioinformatics approach has been used to characterize various cancer-related processes, and to demonstrate how a bioinformatics approach is being used to bridge basic science and the clinical arena to positively impact patient care and management.
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Product Details

  • ISBN-13: 9781588297532
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 12/4/2008
  • Series: Cancer Drug Discovery and Development Series
  • Edition description: 2009
  • Edition number: 1
  • Pages: 198
  • Product dimensions: 7.60 (w) x 10.30 (h) x 0.60 (d)

Table of Contents

Table of Contents for Bioinformatics in Cancer and Cancer Therapy

Preface

Chapter 1: The Emergence of Bioinformatics: Historical Perspective, Quick Overview and Future Trends

Christos A. Ouzounis

Chapter 2: The Statistical Design and Interpretation of Microarray Experiments

Kevin K. Dobbin and Richard M. Simon

Chapter 3: Whole Genome Analysis of Cancer

Steven A. Enkemann, James M. McLoughlin, Eric H. Jensen, and Timothy J. Yeatman

Chapter 4: Bioinformatics Approaches to the Analysis of the Transcriptome of Animal Models of Cancer

Mark J. Hoenerhoff, Aleksandra A. Michalowska, Ting-Hu Qiu, and Jeffery E. Green

Chapter 5: Significance of Aberrant Expression of MicroRNAs in Cancer Cells

George A. Calin, Chang-gong Liu, Manuela Ferracin, Stefano Volinia, Massimo Negrini, and Carlo M. Croce

Chapter 6: Proteomic Methods in Cancer Research

Scot Weinberger and Egisto Boschetti

Chapter 7: Comprehensive Genomic Profiling for Biomarker Discovery for Cancer Detection, Diagnostics and Prognostics

Xiaofeng Zhou, Nagesh P. Rao, Steven W. Cole, and David T. Wong

Chapter 8: Gene Expression Profiling of the Leukemias: Oncogenesis, Drug Responsiveness, and Prediction of Clinical Outcome

Lars Bullinger, Hartmut Dohner, and Jonathan R. Pollack

Chapter 9: Personalized Medicine in the Clinical Management of Colorectal Cancer

Anthony El-Khoueiry and Heinz Josef Lenz

Chapter 10: PIK3CA Gene Alterations in Human Cancers

Sérgia Velho, Carla Oliveira, and Raquel Seruca

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