R Programming for Mass Spectrometry

Effective and Reproducible Data Analysis

de

Éditeur :

Wiley


Paru le : 2025-05-13



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
130,82

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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.
Pages
336 pages
Collection
n.c
Parution
2025-05-13
Marque
Wiley
EAN papier
9781119872351
EAN PDF
9781119872368

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
47647 Ko
Prix
130,82 €
EAN EPUB
9781119872399

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
12104 Ko
Prix
130,82 €

Suggestions personnalisées