| 书目名称 | Statistical Analysis of Next Generation Sequencing Data |
| 编辑 | Somnath Datta,Dan Nettleton |
| 视频video | |
| 概述 | Provides statistical tools for working with the latest research data in NGS.Contains chapters written by leading statisticians in the field of NGS.Useful for students and researchers that work in biom |
| 丛书名称 | Frontiers in Probability and the Statistical Sciences |
| 图书封面 |  |
| 描述 | .Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine..About the editors:.Somnath Datta. is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statisti |
| 出版日期 | Book 2014 |
| 关键词 | Copy Number Variation; DNA; Genomics; Isoform Expression Detection; RNA; Sequencing Data |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-07212-8 |
| isbn_softcover | 978-3-319-37905-0 |
| isbn_ebook | 978-3-319-07212-8Series ISSN 2624-9987 Series E-ISSN 2624-9995 |
| issn_series | 2624-9987 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 19:11:23
