| 书目名称 | Mathematical and Statistical Methods for Genetic Analysis | | 编辑 | Kenneth Lange | | 视频video | | | 丛书名称 | Statistics for Biology and Health | | 图书封面 |  | | 描述 | During the past decade, geneticists have constructed detailed maps of the human genome and cloned scores of Mendelian disease genes. They now stand on the threshold of sequencing the genome in its entirety. The unprecedented insights into human disease and evolution offered by mapping and sequencing will transform medicine and agriculture. This revolution depends vitally on the contributions of applied mathematicians, statisticians, and computer scientists. .Mathematical and Statistical Methods for Genetic Analysis. is written to equip graduate students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. Mathematical, statistical, and computational principles relevant to this task are developed hand in hand with applications to gene mapping, risk prediction, and the testing of epidemiological hypotheses. The book includes many topics currently accessible only in journal articles, including pedigree analysis algorithms, Markov chain Monte Carlo methods, reconstruction of evolutionary trees, radiation hybrid mapping, and models of recombination. Exercise sets are included. .Kenneth Lange is Professor of Bios | | 出版日期 | Book 19971st edition | | 关键词 | DNA; Likelihood; Markov chain; Monte Carlo method; algorithms; biostatistics; chromosome; expectation–maxim | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-2739-5 | | isbn_ebook | 978-1-4757-2739-5Series ISSN 1431-8776 Series E-ISSN 2197-5671 | | issn_series | 1431-8776 | | copyright | Springer Science+Business Media New York 1997 |
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发表于 2025-3-21 16:34:47
