R Programming for Mass Spectrometry: Effective and Reproducible Data Analysis
R Programming for Mass SpectrometryEffective and Reproducible Data Analysis\nAuthor(s): Randall K. Julian\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9781119872351, 978-1119872351\nSynopsis\nA practical guide to reproducible and high impact mass spectrometry data analysis \n\nR 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. \n\nReaders 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 spectromet.
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