Principal component analysis is one of the most important and powerful methods in
chemometrics as well as in a wealth of other areas. This paper provides a description of how …

PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence
excitation emission matrices (EEMs) into their underlying chemical components. In the ideal …

The entire pharmaceutical sector is in an urgent need of both innovative technological
solutions and fundamental scientific work, enabling the production of highly engineered …

Data pre-processing is an essential part of chemometric data analysis, which aims to
remove unwanted variation (such as instrumental artifacts) and thereby focusing on the …

This survey provides an overview of higher-order tensor decompositions, their applications,
and available software. A tensor is a multidimensional or N-way array. Decompositions of …

Background Extracting relevant biological information from large data sets is a major
challenge in functional genomics research. Different aspects of the data hamper their …

Major food adulteration and contamination events seem to occur with some regularity, such
as the widely publicised adulteration of milk products with melamine and the recent …

This book is an introduction to the field of multi-way analysis for chemists and
chemometricians. Its emphasis is on the ideas behind the method and its pratical …

A large metabolomics study was performed on 600 plasma samples taken at four time points
before and after a single intake of a high fat test meal by obese and lean subjects. All …

Decisions in statistical data analysis are often justified, criticized or avoided by using
concepts of objectivity and subjectivity. We argue that the words 'objective'and 'subjective'in …