| 书目名称 | Statistical Analysis of Proteomic Data |
| 副标题 | Methods and Tools |
| 编辑 | Thomas Burger |
| 视频video | |
| 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts |
| 丛书名称 | Methods in Molecular Biology |
| 图书封面 |  |
| 描述 | This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detail and implementation advice that leads to successful results. .Authoritative and practical, .Statistical Analysis of Proteomic Data: Methods and Tools .serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.. |
| 出版日期 | Book 2023 |
| 关键词 | Data processing computational routines; Machine learning; High dimensional statistics; Software suites; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-0716-1967-4 |
| isbn_softcover | 978-1-0716-1969-8 |
| isbn_ebook | 978-1-0716-1967-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines |
发表于 2025-3-21 18:11:08
