Check nearby libraries
Buy this book
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.
Check nearby libraries
Buy this book
Previews available in: English
Edition | Availability |
---|---|
1
Computational Cancer Biology: An Interaction Network Approach
2012, Springer London, Imprint: Springer
electronic resource :
in English
1447147510 9781447147510
|
aaaa
Libraries near you:
WorldCat
|
2 |
zzzz
Libraries near you:
WorldCat
|
Book Details
Table of Contents
Edition Notes
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?June 29, 2019 | Created by MARC Bot | import new book |