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CRC Press Analyzing High-Dimensional Gene Expression Data with R

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Description

This practical guide presents a complete pipeline of analytical methods for processing and analysing genome-scale gene expression and DNA methylation data using R. The book covers quality control, data pre-processing, data mining, and assessment techniques with reproducible R programmes based on both simulated and real datasets. Ideal for researchers and bioinformaticians working with high-dimensional genomic data, it provides concrete examples and step-by-step workflows that move from raw data through to meaningful biological insights. Part of the Chapman & Hall/CRC Computational Biology Series, this resource equips you with the tools needed to handle complex genomic datasets effectively and extract actionable results from large-scale expression studies.

Key Features

Complete analytical pipeline for genome-scale gene expression and DNA methylation datasets with reproducible R code examples.

Comprehensive coverage of quality control and data pre-processing methods tailored for high-dimensional genomic data analysis.

Practical data mining and assessment techniques demonstrated through both simulated and real biological datasets.

Published by Chapman & Hall/CRC as part of the established Computational Biology Series for trusted scientific content.

Product Specifications

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

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