Tools/Protocols
Bioinformatics Tools
A toolbox for thorough metabolomic data analysis. The tool includes several methods for data processing, statistical analysis, biomarker analysis, integrative analysis and data interpretation.
2023
Data processing solutions to render metabolomics more quantitative: case studies in food and clinical metabolomics using Metabox 2.0
Linear mixed-effects modeling for normalization of clinical metabolomics data by using subject metada.
2018
Accounting for biological variation with linear mixed-effects modelling improves the quality of clinical metabolomics data
An R/Bioconductor package for gene set analysis (GSA) using a selection of available methods and starting from different kinds of gene level statistics.
2013
Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods