Limit search to available items
Book Cover
Author Vidyasagar, M. (Mathukumalli), 1947-

Title Computational cancer biology : an interaction network approach / Mathukumalli Vidyasagar
Published London ; New York : Springer, [2012]
Online access available from:
Springer eBooks    View Resource Record  


Description 1 online resource (xii, 80 pages) : illustrations
Series SpringerBriefs in electrical and computer engineering, Control, automation and robotics, 2192-6794
SpringerBriefs in electrical and computer engineering. Control, automation and robotics. 2192-6786
Contents The Role of System Theory in Biology -- Analyzing Statistical Significance -- Inferring Gene Interaction Networks -- Some Research Directions
Summary This brief introduces readers to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics, building on only a basic background in these two topics. Aside from providing a self-contained introduction to several aspects of basic biology and to cancer, as well as to the techniques from statistics most commonly used in cancer biology, the brief describes several methods for inferring gene interaction networks from expression data, including one that is reported for the first time in the brief. The application of these methods is illustrated on actual data from cancer cell lines. Some promising directions for new research are also discussed. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems
Analysis Computer science
Biological models
Computational Biology/Bioinformatics
Statistics for Life Sciences, Medicine, Health Sciences
Systems Biology
Cancer Research
Bibliography Includes bibliographical refer, ences
Subject Cancer -- Computer simulation.
Cancer -- Mathematical models.
Computational biology.
Form Electronic book
LC no. 2012950853
ISBN 9781447147510 (electronic bk.)
1447147510 (electronic bk.)