Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R(Chapman & Hall/CRC Computational Biology Series)

用R分析高维基因表达与DNA甲基化数据

分子生物学

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发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2020年05月01日
装      帧
精装
ISBN
9781498772594
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页      码
200
开      本
6-1/8 x 9-1/4
语      种
英文
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图书简介
Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: ·;;;;;;;; Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. ·;;;;;;;; Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). ·;;;;;;;; Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. ; This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.
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