Metabolomics Perspectives: From Theory to Practical Application provides a thorough over of metabolomics fundamentals, techniques and data analytics approaches, supporting direct application in the life sciences, medicine, and industry. The book begins with basic overviews of metabolomic profiling methods and data analysis approaches, followed by descriptions and guidance for applying metabolomics in biomedicine, drug discovery, public health, and precision medicine; plant, food science, and agriculture; and cell biology and microbiology; among other disciplines. Methods and protocols instruction are provided on experimental design, mass spectrometry, NMR, neonatal screening, metabolomics standardization, and metabolomic profiling in life science research and biomarker discovery. Guidance in network analysis, use of R codes, univariate analysis, square discriminant analysis, random forest, support vectoral machine, artificial neural network, ensembling, and genetic algorithms is also included. Finally, the book features a pool of specifically designed commented codes (R scripts), and several sets of metabolomics data, hosted on a companion website, for readers to work with following protocols included in the book. Describes metabolomics approaches across a range of applications, including life science and biomedical research, drug discovery, food and agriculture, and microbiologyFeatures chapter contributions from international leaders in the fieldIncludes commented codes (R scripts), and several sets of metabolomics data, hosted on a companion website to apply protocols discussed in book
