| 书目名称 | Methods of Microarray Data Analysis | | 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 forfunctional genomic explorations, and will continue to be a major toolthroughout this decade and beyond. The recent explosion of thistechnology threatens to overwhelm the scientific community withmassive quantities of data. Because microarray data analysis is anemerging field, very few analytical models currently exist. .Methodsof. .Microarray Data Analysis. is one of the first booksdedicated to this exciting new field. In a single reference, readerscan learn about the most up-to-date methods ranging from datanormalization, feature selection and discriminative analysis tomachine learning techniques. .Currently, there are no standard procedures for the design andanalysis of microarray experiments. .Methods of Microarray Data..Analysis. focuses on two well-known data sets, using a differentmethod of analysis in each chapter. Real examples expose the strengthsand weaknesses of each method for a given situation, aimed at helpingreaders choose appropriate protocols and utilize them for their owndata set. In addition, web links are provided to the programs andtools discussed in several chapters. This book is an excellentreference not o | | 出版日期 | Book 2002 | | 关键词 | DNA; Microarray; bioinformatics; classification; data analysis; data mining; evolution; gene expression; gen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-0873-1 | | isbn_softcover | 978-1-4613-5281-5 | | isbn_ebook | 978-1-4615-0873-1 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 18:29:18
