Book Description:
ISBN-13: 9781119165026
“Molecular Data Analysis Using R” is a comprehensive guide that explores the use of the R programming language for analyzing molecular data. The book covers a wide range of topics related to molecular data analysis, including data preprocessing, visualization, statistical analysis, and machine learning techniques.
The book begins with an introduction to R and its applications in molecular data analysis, providing readers with a solid foundation in the language. It then delves into various data preprocessing techniques, such as data cleaning, normalization, and transformation, to ensure that the data is ready for analysis.
The book also covers advanced topics such as clustering, classification, regression, and dimensionality reduction, using real-world examples and case studies to illustrate the concepts. Additionally, the book includes practical exercises and code snippets to help readers apply the techniques learned in their own research projects.
“Molecular Data Analysis Using R” is a valuable resource for researchers, students, and professionals in the field of molecular biology who are looking to enhance their data analysis skills using the powerful capabilities of R.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.