| 书目名称 | Methods of Microarray Data Analysis II | | 副标题 | Papers from CAMDA ’0 | | 编辑 | Simon M. Lin,Kimberly F. Johnson | | 视频video | | | 图书封面 |  | | 描述 | .Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. .Methods of Microarray Data Analysis II. is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. ..Currently, there are no standard procedures for the design and analysis of microarray experiments. .Methods of Microarray Data Analysis II. focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This | | 出版日期 | Book 2002 | | 关键词 | Clustering; DNA; Microarray; bioinformatics; data analysis; gene expression; genes; machine learning | | 版次 | 1 | | doi | https://doi.org/10.1007/b112982 | | isbn_softcover | 978-1-4757-8831-0 | | isbn_ebook | 978-0-306-47598-6 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 16:48:01
