Using MetaboAnalyst 3.0 for comprehensive metabolomics data analysis
J **a, DS Wishart - Current protocols in bioinformatics, 2016 - Wiley Online Library
Abstract MetaboAnalyst (http://www. metaboanalyst. ca) is a comprehensive Web application
for metabolomic data analysis and interpretation. MetaboAnalyst handles most of the …
for metabolomic data analysis and interpretation. MetaboAnalyst handles most of the …
Analytical methods in untargeted metabolomics: state of the art in 2015
Metabolomics comprises the methods and techniques that are used to measure the small
molecule composition of biofluids and tissues, and is actually one of the most rapidly …
molecule composition of biofluids and tissues, and is actually one of the most rapidly …
Using MetaboAnalyst 4.0 for comprehensive and integrative metabolomics data analysis
Abstract MetaboAnalyst (https://www. metaboanalyst. ca) is an easy‐to‐use web‐based tool
suite for comprehensive metabolomic data analysis, interpretation, and integration with other …
suite for comprehensive metabolomic data analysis, interpretation, and integration with other …
Investigating the impact of data normalization on classification performance
Data normalization is one of the pre-processing approaches where the data is either scaled
or transformed to make an equal contribution of each feature. The success of machine …
or transformed to make an equal contribution of each feature. The success of machine …
Multivariate analysis in metabolomics
Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells
and biological fluids, free of observational biases inherent to more focused studies of …
and biological fluids, free of observational biases inherent to more focused studies of …
Probabilistic Quotient Normalization as Robust Method to Account for Dilution of Complex Biological Mixtures. Application in 1H NMR Metabonomics
For the analysis of the spectra of complex biofluids, preprocessing methods play a crucial
role in rendering the subsequent data analyses more robust and accurate. Normalization is …
role in rendering the subsequent data analyses more robust and accurate. Normalization is …
Nuclear magnetic resonance (NMR) spectroscopy in food science: A comprehensive review
E Hatzakis - Comprehensive reviews in food science and food …, 2019 - Wiley Online Library
Nuclear magnetic resonance (NMR) spectroscopy is a robust method, which can rapidly
analyze mixtures at the molecular level without requiring separation and/or purification …
analyze mixtures at the molecular level without requiring separation and/or purification …
NMR-based metabolomic analysis of plants
HK Kim, YH Choi, R Verpoorte - Nature protocols, 2010 - nature.com
Nuclear magnetic resonance (NMR)-based metabolomics has many applications in plant
science. Metabolomics can be used in functional genomics and to differentiate plants from …
science. Metabolomics can be used in functional genomics and to differentiate plants from …
Reflections on univariate and multivariate analysis of metabolomics data
Metabolomics experiments usually result in a large quantity of data. Univariate and
multivariate analysis techniques are routinely used to extract relevant information from the …
multivariate analysis techniques are routinely used to extract relevant information from the …
NOREVA: normalization and evaluation of MS-based metabolomics data
Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …