Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2/e (Hardcover)
Sorin Drăghici
- 出版商: CRC
- 出版日期: 2011-12-06
- 定價: $2,980
- 售價: 8.0 折 $2,384
- 語言: 英文
- 頁數: 1036
- 裝訂: Hardcover
- ISBN: 1439809755
- ISBN-13: 9781439809754
-
相關分類:
R 語言、Data Science、機率統計學 Probability-and-statistics
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商品描述
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems.
New to the Second Edition
Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying CD-ROM.
With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.
商品描述(中文翻譯)
《使用R和Bioconductor進行微陣列的統計和數據分析,第二版》以豐富的彩色插圖為特色,清晰而嚴謹地描述了用於挖掘和解釋生物信息的強大分析技術和算法。本書省略了冗長的細節、繁重的形式和晦澀的符號,採用實例為基礎的方法,教授學生R和微陣列技術的基礎知識,以及如何選擇和應用適當的數據分析工具解決特定問題。
第二版新增了14章,完全更新並比前一版增加了一倍的內容,將商業軟件替換為開源的R和Bioconductor環境。新增的章節涵蓋了細胞的基本機制、DNA微陣列中的可靠性和重現性問題、R中的基本統計和線性模型、實驗設計、多重比較、質量控制、數據預處理和歸一化、基因本體分析、通路分析和機器學習技術等主題。方法通過玩具示例和真實數據進行演示,所有例程的R代碼可在附帶的CD-ROM上找到。
本暢銷書籍包含了所有必要的先備知識,引導學生從非常基本的概念到R和Bioconductor中的高級分析技術。本書的前半部分概述了微陣列和構成任何數據分析的統計要素。後半部分介紹了在微陣列數據分析中最常用的技術。