Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series Book 4)
Explore statistical and data analysis methods for microarray studies using R and Bioconductor. This book in the Computational Biology Series delivers essential techniques for processing and interpreting biological data, aiding researchers in genomic research and analysis.
About This Book
This volume in the Chapman & Hall/CRC Computational Biology Series focuses on statistical methods and data analysis techniques tailored for microarray experiments.
Authored by Sorin Draghici, it provides practical instruction on leveraging the R programming language and Bioconductor packages to handle complex biological data.
Readers will gain insights into processing, analyzing, and interpreting microarray results within a computational biology framework.
The book serves as a valuable resource for scientists and students seeking to apply rigorous statistical approaches to genomic data.
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