| 书目名称 | Principles of Statistical Genomics | | 编辑 | Shizhong Xu | | 视频video | | | 概述 | covers microarray data analysis, which is absent in both competing books in addition to QTL mapping.introduces Bayesian method, which was not available in both competing books.uses more rigorous mathe | | 图书封面 |  | | 描述 | .Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. .Principles of Statistical Genomics. synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. .Resourceful and easy to use,.Principles of Statistical Genomics. is a comprehensive reference for researchers and graduate students studying statistical genomics. . | | 出版日期 | Textbook 2013 | | 关键词 | currentjks; genomics; statistical genomics; statistical methodology; Quantitative Genetics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-70807-2 | | isbn_softcover | 978-1-4899-9404-2 | | isbn_ebook | 978-0-387-70807-2 | | copyright | Springer Science+Business Media, LLC 2013 |
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发表于 2025-3-21 20:04:24
