Mass-spectrometry-based proteomics is continuing to make major contributions to the
discovery of fundamental biological processes and, more recently, has also developed into …

Feature selection techniques have become an apparent need in many bioinformatics
applications. In addition to the large pool of techniques that have already been developed in …

This review focuses on recent and potential advances in chemometric methods in relation to
data processing in metabolomics, especially for data generated from mass spectrometric …

Motivation: A major problem for current peak detection algorithms is that noise in mass
spectrometry (MS) spectra gives rise to a high rate of false positives. The false positive rate …

Modern analytical technologies afford comprehensive and quantitative investigation of a
multitude of different metabolites. Typical metabolomic experiments can therefore produce …

Matrix‐assisted laser desorption/ionisation mass spectrometry (MALDI‐TOF MS) is
increasingly used by clinical microbiology laboratories to cope with the need for rapid, cost …

Big data analytics (BDA) is of paramount importance in healthcare aspects such as patient
diagnostics, fast epidemic recognition, and improvement of patient management. The …

Motivation: Given the thousands of genes and the small number of samples, gene selection
has emerged as an important research problem in microarray data analysis. Support Vector …

Readouts that define the physiological distributions of drugs in tissues are an unmet
challenge and at best imprecise, but are needed in order to understand both the …

While metabolomics attempts to comprehensively analyse the small molecules
characterising a biological system, MS has been promoted as the gold standard to study the …