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Titlebook: Computational Cancer Biology; An Interaction Netwo Mathukumalli Vidyasagar Book 2012 The Author(s) 2012 Biologically-derived Control System

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发表于 2025-3-21 19:23:21 | 显示全部楼层 |阅读模式
书目名称Computational Cancer Biology
副标题An Interaction Netwo
编辑Mathukumalli Vidyasagar
视频video
概述Gives the engineer and the mathematician a self-contained entry into the study of biological systems.Applications drawn from real cancer data – not simulations
丛书名称SpringerBriefs in Electrical and Computer Engineering
图书封面Titlebook: Computational Cancer Biology; An Interaction Netwo Mathukumalli Vidyasagar Book 2012 The Author(s) 2012 Biologically-derived Control System
描述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.
出版日期Book 2012
关键词Biologically-derived Control Systems; Cancer Biology; Computational Biology; Graph Theory; Information T
版次1
doihttps://doi.org/10.1007/978-1-4471-4751-0
isbn_softcover978-1-4471-4750-3
isbn_ebook978-1-4471-4751-0Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2012
The information of publication is updating

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Analyzing Statistical Significance,data. These include the .-text, the Kolmogorov–Smirnov (K–S) test for goodness of fit, the ‘student’ .-test for testing the null hypothesis that two sets of data have the same mean, Significance Analysis for Microarrays (SAM), Pattern Analysis for Microarrays (PAM) and Gene Set Enhancement Analysis
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Alphabetical index of substances,s new approach produces a gene interaction network in the form of a directed, strongly connected graph. The approach is validated on ChIP-seq data around the transcription factor ASCL1 in a lung cancer network.
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Causal Relationship: Real or Spurious?,e expression profile plays a role in discriminating between drivers and passengers. Preliminary evidence from colorectal cancer is examined, and it is suggested that further studies should be carried out using recently published comprehensive analysis of colorectal cancer.
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