Metabolomic analysis by liquid chromatography− high-resolution mass spectrometry results
in data sets with thousands of features arising from metabolites, fragments, isotopes, and …

Background In mass spectrometry (MS) based proteomic data analysis, peak detection is an
essential step for subsequent analysis. Recently, there has been significant progress in the …

Proteomics, the large‐scale study of protein expression in organisms, offers the potential to
evaluate global changes in protein expression and their post‐translational modifications that …

Laser instruments often suffer from the problem of baseline drift and random noise, which
greatly degrade spectral quality. In this article, we propose a variation model that combines …

Many mass spectrometry-based studies, as well as other biological experiments produce
cluster-correlated data. Failure to account for correlation among observations may result in a …

Background Mass spectrometric analysis of the blood proteome is an emerging method of
clinical proteomics. The approach exploiting multi-protein/peptide sets (fingerprints) …

The mass spectrometry (MS) technology in clinical proteomics is very promising for
discovery of new biomarkers for diseases management. To overcome the obstacles of data …

We present here a fully automated spectral baseline-removal procedure. The method uses a
large-window moving average to estimate the baseline; thus, it is a model-free approach …

Mixture-modeling of mass spectra is an approach with many potential applications including
peak detection and quantification, smoothing, de-noising, feature extraction and spectral …

Peak detection for chromatograms, including the detection of peak retention times, peak start
locations, and peak end locations, is an important processing step for extracting peak …