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Computational cancer biology : an interaction network approach

作者: M Vidyasagar
出版商: London ; New York : Springer, ©2012.
叢書: SpringerBriefs in electrical and computer engineering., Control, automation and robotics.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
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  再讀一些...
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類型/形式: Electronic books
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: M Vidyasagar
ISBN: 9781447147510 1447147510
OCLC系統控制編碼: 822978249
描述: 1 online resource (xii, 80 p.) : ill.
内容: The Role of System Theory in Biology --
Analyzing Statistical Significance --
Inferring Gene Interaction Networks --
Some Research Directions.
叢書名: SpringerBriefs in electrical and computer engineering., Control, automation and robotics.
責任: Mathukumalli Vidyasagar.
更多資訊:

摘要:

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.

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