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Bioconductor software has become a standard tool for the analysis and comprehension of data from highthroughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include: (1) import and preprocessing of data from various sources; (2) statistical modeling of differential gene expression; (3) biological metadata; (4) application of graphs and graph rendering; (5) machine learning for clustering and classification problems; (6) gene set enrichment analysis.Each chapter of this book describes an analysis of real data using handson example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table.
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- Q: What is the main focus of 'Bioconductor Case Studies (Use R!)'? A: The book focuses on applying Bioconductor tools for the analysis of microarray gene expression data, covering various aspects of high-throughput genomics.
- Q: Who is the author of this book? A: The author of 'Bioconductor Case Studies (Use R!)' is Florian Hahne.
- Q: What topics are covered in this book? A: Topics include data import and preprocessing, statistical modeling of differential gene expression, biological metadata, graph application, machine learning for clustering and classification, and gene set enrichment analysis.
- Q: What is the format of the book? A: The book is available in paperback binding, making it accessible for both reading and reference.
- Q: How many pages does 'Bioconductor Case Studies (Use R!)' contain? A: The book contains 296 pages, providing a comprehensive resource on Bioconductor applications.
- Q: When was 'Bioconductor Case Studies (Use R!)' published? A: The book was published on August 15, 2008.
- Q: Can I execute the code examples in the book? A: Yes, all code examples in the book can be executed on a local computer, allowing readers to reproduce computations and visualizations.
- Q: What is the condition of the book? A: The book is in new condition, ensuring that readers receive a quality product.
- Q: Is this book suitable for beginners in genomics? A: Yes, the book includes hands-on examples and short exercises that make it suitable for beginners as well as those looking to deepen their understanding of the topics.
- Q: Does this book include real data analysis examples? A: Yes, each chapter describes an analysis of real data, helping readers apply concepts practically.