Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R
  • Engels
  • Hardcover
  • 9781498772594
  • mei 2020
  • 190 pagina's
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Productbeschrijving

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.

Productspecificaties

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Taal
Engels
Bindwijze
Hardcover
Verschijningsdatum
mei 2020
Aantal pagina's
190 pagina's
Illustraties
Nee

Betrokkenen

Auteur
Hongmei Zhang
Uitgever
Taylor & Francis Inc

EAN

EAN
9781498772594

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