| 书目名称 | Microarray Data Analysis |
| 编辑 | Giuseppe Agapito |
| 视频video | |
| 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contain key implementation advice from the experts |
| 丛书名称 | Methods in Molecular Biology |
| 图书封面 |  |
| 描述 | This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. .Authoritative and practical, .Microarray Data Analysis. is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.. |
| 出版日期 | Book 2022 |
| 关键词 | Microarray datasets; Cloud computing; Pharmacogenomics; Data mining; R software; Omics assays |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-0716-1839-4 |
| isbn_softcover | 978-1-0716-1841-7 |
| isbn_ebook | 978-1-0716-1839-4Series 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 16:27:49
