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Bioconductor Case Studies (Use R!),New
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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 page count of the book? A: The book has two hundred ninety-six pages. This extensive length covers a variety of case studies and hands-on examples.
- Q: What are the dimensions of this book? A: The book measures six point one inches in length, zero point seventy-one inches in width, and nine point twenty-five inches in height. These dimensions make it easy to handle and read.
- Q: Is this book paperback or hardcover? A: This book is paperback. The binding type allows for flexibility and portability, making it suitable for students and professionals.
- Q: How do I use the Bioconductor tools in this book? A: You can use the Bioconductor tools by following the hands-on examples in each chapter. The book provides detailed instructions for data analysis.
- Q: Is this book suitable for beginners in R? A: Yes, it is suitable for beginners. Each chapter includes exercises that help newcomers learn and apply Bioconductor tools effectively.
- Q: What topics are covered in the book? A: The book covers topics such as statistical modeling, gene expression analysis, and machine learning for clustering. Each topic is explored using real data.
- Q: How should I care for this book? A: To keep the book in good condition, store it in a dry place away from direct sunlight. Avoid bending the pages and keep it on a stable surface.
- Q: Is this book safe for children? A: Yes, the content is educational and safe for older children interested in biology and data analysis. However, it is aimed at an audience familiar with R programming.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you can return it according to the seller's return policy. Make sure to contact customer support for assistance.
- Q: Can I find exercises in this book? A: Yes, the book includes short exercises at the end of each chapter. These exercises are designed to reinforce learning and encourage deeper understanding.
- Q: Does this book include real data analysis examples? A: Yes, it includes real data analysis examples. Each chapter is driven by hands-on case studies that apply the discussed methodologies.
- Q: What is the author's background? A: The author, Florian Hahne, is known for his expertise in bioinformatics and data analysis. His background lends credibility to the content in this book.
- Q: Are there any prerequisites for using this book? A: A basic understanding of R programming is recommended. Familiarity with statistical concepts will also enhance comprehension of the case studies.
- Q: Is there a warranty or guarantee for this book? A: Typically, books do not come with a warranty. However, customer satisfaction policies may offer returns if the book does not meet expectations.
- Q: How can I contact support for this book? A: You can contact support through the retailer where you purchased the book. They will provide assistance for any inquiries or issues.