Some of the increasingly spread data mining methods in chemometrics like exploratory data
analysis, artificial neural networks, pattern recognition, and digital image processing with …

Metabolomics is the qualitative and quantitative analysis of all of the small molecules in a
biological sample at a specific time and influence. Technologies for metabolomics analysis …

Many modern analytical methods are used to analyse samples coming from an experimental
design, for example, in medical, biological, or agronomic fields. Those methods generate …

A modification of the ANOVA–PCA method, proposed by Harrington et al. to identify
significant factors and interactions in an experimental design, is presented in this article. The …

Two-dimensional infrared spectroscopy (2D-IR) is well established as a specialized, high-
end technique for measuring structural and solvation dynamics of biological molecules …

In the present work, the simultaneous optimization of multiple responses was applied to the
optimization of the simultaneous determination of trace levels of Cd (II), Cu (II), Pb (II) and Zn …

The development of a collaborative study as a requirement for the preparation of a
laboratory reference material candidate is reported in this paper. The evaluation was …

As systems biology develops, various types of high-throughput-omics data become rapidly
available. An increasing challenge is to analyze such massive data, interpret the results and …

In this work, three methods for pattern recognition, used as exploratory data analysis, are
revisited. A brief review of principal component analysis, PCA, an unsupervised method, is …

The traditional analysis of variance (ANOVA) of an experimental design is not efficient for
evaluating the effect of all constituents simultaneously in gas chromatography mass …