£115.00

CRC Press Analyzing Gene Expression and DNA Methylation Data with R

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Description

Master the complexities of genomic data with this practical guide from the Chapman and Hall/CRC Computational Biology Series. This book offers a complete analytical pipeline designed for researchers working with high-dimensional gene expression and DNA methylation data. Instead of just theory, you get a step-by-step approach that starts from raw genome-scale data and moves through essential stages of analysis. By following the methods presented, you can implement effective workflows for quality control, data pre-processing, and data mining. The book uses R programming to demonstrate these processes, utilizing both simulated and real-world datasets to ensure you can apply these skills to your own research. Whether you are conducting assessments or exploring new patterns in biological data, this resource provides the reproducible code and practical examples needed to navigate modern computational biology.

Key Features

Follow a complete analytical pipeline that guides you from raw genome-scale gene expression and DNA methylation data to final results.

Learn essential methods for quality control, data pre-processing, and data mining to ensure your genomic research is accurate.

Utilize reproducible R programs that are built using both simulated and real-world data for practical application.

Access a sequence of analytical tools specifically designed for handling high-dimensional gene expression data.

Gain hands-on experience with concrete examples that bridge the gap between raw data and biological assessment.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 May 2020
Listed Since
18 January 2020

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