Statistical Bioinformatics: A Guide for Life and Biomedical Science Researchers
Statistical Bioinformatics: A Guide for Life and Biomedical Science Researchers
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统计生物信息学：生命和生物医学科学研究人员指南
DOI：
10.1002/9780470567647
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发表时间：
2010
影响因子：
3.9
通讯作者：
Jae K. Lee
中科院分区：
文献类型：
--
作者：
Jae K. Lee
本书提供了对使用计算技术分析基因组和蛋白质组数据所需的统计概念的基本理解。作者介绍了基础和高级主题，重点关注与生物学中大数据集的计算分析相关的主题。各章首先描述统计概念和生物医学研究的当前示例，然后进行更详细的介绍、限制和问题的讨论。本书首先介绍全基因组数据的概率和统计，然后进入聚类、分类、多维可视化、实验设计、统计重采样和统计网络分析等主题。
This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multidimensional visualization, experimental design, statistical resampling, and statistical network analysis.