| 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 cloned scores of Mendelian disease genes and constructed a rough draft of the entire human genome. The unprecedented insights into human disease and evolution offered by mapping, cloning, 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 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 population genetics, gene mapping, risk prediction, testing of epidemiological hypotheses, molecular evolution, and DNA sequence analysis. Many specialized topics are covered that are currently accessible only in journal articles. This second edition expands the original edition by over 100 pages and includes new material on DNA sequence analysis, diffusion processes, binding domain identification, Bayesian estimation of haplotype frequencies, cas | | 出版日期 | Textbook 2002Latest edition | | 关键词 | DNA; Factor analysis; Haplotype; evolution; expectation–maximization algorithm; genes; genetics; molecular | | 版次 | 2 | | doi | https://doi.org/10.1007/978-0-387-21750-5 | | isbn_softcover | 978-1-4684-9556-0 | | isbn_ebook | 978-0-387-21750-5Series ISSN 1431-8776 Series E-ISSN 2197-5671 | | issn_series | 1431-8776 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 18:59:15
