Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

• Corporate Author: SpringerLink (Online service)
• Other Authors: Datta, Susmita (Editor), Mertens, Bart J. A. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Frontiers in Probability and the Statistical Sciences
• Subjects: Statistics.; Analytical chemistry.; Mathematical statistics.; Bioinformatics.; Biostatistics.; Metabolism.; Statistics for Life Sciences, Medicine, Health Sciences.; Metabolomics.; Computational Biology/Bioinformatics.; Analytical Chemistry.; Probability and Statistics in Computer Science.

This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the...