| 书目名称 | Statistical Methods in Molecular Evolution |
| 编辑 | Rasmus Nielsen |
| 视频video | |
| 概述 | Provides a comprehensive review of the many interesting statistical problems arising in molecular evolution provided by the leading researchers in the field |
| 丛书名称 | Statistics for Biology and Health |
| 图书封面 |  |
| 描述 | .In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics...Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods. ..This book is suitable for statisticians seeking to learn more about applications in molecular evo |
| 出版日期 | Book 2005 |
| 关键词 | Likelihood; Markov chain; Phylogenie; Probability theory; bioinformatics; biology; data analysis; evolution |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-27733-1 |
| isbn_softcover | 978-1-4419-1972-4 |
| isbn_ebook | 978-0-387-27733-2Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
| issn_series | 1431-8776 |
| copyright | Springer-Verlag New York 2005 |
发表于 2025-3-21 19:57:40
