| 书目名称 | Microarray Bioinformatics | | 编辑 | Verónica Bolón-Canedo,Amparo Alonso-Betanzos | | 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 provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. .Cutting-edge and authoritative, .Microarray Bioinformatics. serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets.. | | 出版日期 | Book 2019 | | 关键词 | DNA microarrays; Datasets; Data warehousing; Machine learning; Statistical analysis; Computer science; mic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-9442-7 | | isbn_softcover | 978-1-4939-9444-1 | | isbn_ebook | 978-1-4939-9442-7Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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发表于 2025-3-21 17:44:25
