书目名称 | Statistical Methods in Bioinformatics |
副标题 | An Introduction |
编辑 | Warren J. Ewens,Gregory Grant |
视频video | |
概述 | First book on this subject written from a statistical viewpoint.Includes methods important in the analysis of human genome data.Only basic knowledge of biology is assumed |
丛书名称 | Statistics for Biology and Health |
图书封面 |  |
描述 | .Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community...This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods...The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized...The book is written so as to appeal to biologists and comp |
出版日期 | Textbook 2005Latest edition |
关键词 | DNA; Markov chain; Microarray; bioinformatics; evolution; gene expression; genes; genetics; hidden markov mo |
版次 | 2 |
doi | https://doi.org/10.1007/b137845 |
isbn_softcover | 978-1-4419-2302-8 |
isbn_ebook | 978-0-387-26648-0Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
issn_series | 1431-8776 |
copyright | Springer-Verlag New York 2005 |