My main research interests are in the development of bioinformatic workflows and pipelines for the pre-processing and analysis of metabolic profiling data (Nuclear magnetic resonance spectroscopy and mass spectrometry) and on the statistical data analysis of metabolic phenotyping dataset and other -omic datasets.
et al., 2019, The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:5359-5360
et al., 2019, Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging, Analytical Chemistry, Vol:91, ISSN:0003-2700, Pages:6530-6540
et al., 2019, SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:178-180
et al., 2018, Ultra performance liquid chromatography-high resolution mass spectrometry and direct infusion-high resolution mass spectrometry for combined exploratory and targeted metabolic profiling of human urine, Journal of Proteome Research, Vol:17, ISSN:1535-3893, Pages:3492-3502