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Statistical Analysis of Microbiome Data with R / by Yinglin Xia, Jun Sun, Ding-Geng Chen
(ICSA Book Series in Statistics. ISSN:21990999)
版 | 1st ed. 2018. |
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出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
出版年 | 2018 |
本文言語 | 英語 |
大きさ | XXIII, 505 p. 84 illus., 67 illus. in color : online resource |
著者標目 | *Xia, Yinglin author Sun, Jun author Chen, Ding-Geng author SpringerLink (Online service) |
件 名 | LCSH:Mathematical statistics -- Data processing
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LCSH:Biometry LCSH:Big data FREE:Statistics and Computing FREE:Biostatistics FREE:Big Data |
一般注記 | Chapter 1: Introduction to R, RStudio and ggplot2 -- Chapter 2: What are Microbiome Data? -- Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Data -- Chapter 4: Power and Sample Size Calculation in Hypothesis Testing Microbiome Data -- Chapter 5: Microbiome Data Management -- Chapter 6: Exploratory Analysis of Microbiome Data -- Chapter 7: Comparisons of Diversities, OTUs and Taxa among Groups -- Chapter 8: Community Composition Study -- Chapter 9: Modeling Over-dispersed Microbiome Data -- Chapter 10: Linear Regression Modeling metadata -- Chapter 11: Modeling Zero-Inflated Microbiome Data This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research HTTP:URL=https://doi.org/10.1007/978-981-13-1534-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811315343 |
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EB00223867 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA276.4-.45 DC23:519.5 |
書誌ID | 4000114991 |
ISBN | 9789811315343 |
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