R Programming for Mass Spectrometry

Name: R Programming for Mass Spectrometry
Brand: John Wiley & Sons Inc
SKU: 9781119872351
Price: 44164 HUF
Availability: InStock

Szerző: Julian, Randall K.

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

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A practical guide to reproducible and high impact mass spectrometry data analysis R Programming for...

Információk a könyvről

Szerző

Julian, Randall K.

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2025

oldal

400

EAN

9781119872351

ISBN

1119872359

Enbook ID

46171885

Kiadó

John Wiley & Sons Inc

Súly

953

Teljes leírás

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 dataProcessing chromatographic peaks, peak detection, and quality control in mass spectrometry dataApplying machine learning techniques, using Tidymodels for supervised and unsupervised learning, as well as for feature engineering and selection, providing modern approaches to data-driven insightsMethods 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.

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R Programming for Mass Spectrometry

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