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Computational Cancer Biology

An Interaction Network Approach

By Mathukumalli Vidyasagar

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  • ISBN13: 978-1-4471-4750-3
  • 92 Pages
  • User Level: Science
  • Publication Date: November 28, 2012
  • Available eBook Formats: PDF
Full Description
This brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics.  The title mentions “cancer biology” and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods.  The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems.
Table of Contents

Table of Contents

  1. Introduction.
  2. Inferring Genetic Regulatory Networks.
  3. Context
  4. specific Genomic Networks.
  5. Analyzing Statistical Significance.
  6. Separating Drivers from Passengers.
  7. Some Research Directions.

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