R Programming for Mass Spectrometry
eBook - PDF

R Programming for Mass Spectrometry

Effective and Reproducible Data Analysis

  1. 337 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

R Programming for Mass Spectrometry

Effective and Reproducible Data Analysis

About this book

A practical guide to reproducible and high impact mass spectrometry data analysis

R Programming for Mass Spectrometry teaches a rigorous and detailed approach to analyzing mass spectrometry data using the R programming language. It emphasizes reproducible research practices and transparent data workflows and is designed for analytical chemists, biostatisticians, and data scientists working with mass spectrometry.

Readers will find specific algorithms and reproducible examples that address common challenges in mass spectrometry alongside example code and outputs. Each chapter provides practical guidance on statistical summaries, spectral search, chromatographic data processing, and machine learning for mass spectrometry.

Key topics include:

  • Comprehensive data analysis using the Tidyverse in combination with Bioconductor, a widely used software project for the analysis of biological data
  • Processing chromatographic peaks, peak detection, and quality control in mass spectrometry data
  • Applying machine learning techniques, using Tidymodels for supervised and unsupervised learning, as well as for feature engineering and selection, providing modern approaches to data-driven insights
  • Methods for producing reproducible, publication-ready reports and web pages using RMarkdown

R Programming for Mass Spectrometry is an indispensable guide for researchers, instructors, and students. It provides modern tools and methodologies for comprehensive data analysis. With a companion website that includes code and example datasets, it serves as both a practical guide and a valuable resource for promoting reproducible research in mass spectrometry.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access R Programming for Mass Spectrometry by Randall K. Julian in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2025
Print ISBN
9781119872351
eBook ISBN
9781119872368

Table of contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright
  5. Contents
  6. Foreword
  7. Preface
  8. Acknowledgments
  9. Chapter 1: Data Analysis with R
  10. Chapter 2: Introduction to Mass Spectrometry Data Analysis
  11. Chapter 3: Wrangling Mass Spectrometry Data
  12. Chapter 4: Exploratory Data Analysis
  13. Chapter 5: Data Analysis of Mass Spectra
  14. Chapter 6: Analysis of Chromatographic Data from Mass Spectrometers
  15. Chapter 7: Machine Learning in Mass Spectrometry
  16. References
  17. Index
  18. EULA