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Computational cancer biology : an interaction network approach

저자: M Vidyasagar
출판사: London ; New York : Springer, ©2012.
시리즈: SpringerBriefs in electrical and computer engineering., Control, automation and robotics.
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
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  더 읽기…
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장르/형태: Electronic books
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: M Vidyasagar
ISBN: 9781447147510 1447147510 1447147502 9781447147503
OCLC 번호: 822978249
설명: 1 online resource (xii, 80 p.) : ill.
내용: The Role of System Theory in Biology --
Analyzing Statistical Significance --
Inferring Gene Interaction Networks --
Some Research Directions.
일련 제목: SpringerBriefs in electrical and computer engineering., Control, automation and robotics.
책임: Mathukumalli Vidyasagar.
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초록:

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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