Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry (Frontiers in Probability and the Statistical Sciences)
by Susmita Datta, Bart J. A. Mertens
Statistical methods and models for processing and interpreting mass spectrometry data in proteomics, metabolomics, and lipidomics research.
About This Book
This book presents statistical approaches tailored to high-throughput mass spectrometry data in the omics fields.
Readers will find methods for preprocessing, normalization, and feature selection suited to complex biological datasets.
Emphasis is placed on probabilistic modeling and multivariate techniques that address the challenges of high-dimensional data.
The text serves researchers and analysts working at the intersection of statistics and mass spectrometry-based omics studies.
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