AS
Publications
- Membrane inlet mass spectrometry method for food intake impact assessment on specific volatile organic compounds in exhaled breath
- Inflammatory bowel disease prediction based on metagenomics data
- Food impact study on selected breath VOCs using portable mass spectrometry
- Breath analysis using portable mass spectrometry for personalized nutrition
- DNA metabarcoding for detection of pathogen Trichoderma species in compost and casing soil used in champignon cultivation
- Food impact assessment on exhaled breath volatile organic compounds using a portable membrane inlet mass spectrometer
- Traceable calibration of real-time bioaerosol particle counters
- Validation of the method for the assessment of food impact on breath VOCs using portable membrane inlet mass spectrometer
- Assessment of real-time bioaerosol particle counters using reference chamber experiments
- Machine Learning Based Metagenomic Prediction of Inflammatory Bowel Disease
- Food and lifestyle impact on breath VOCs using portable mass spectrometer—pilot study across European countries
- Multi-class boosting for the analysis of multiple incomplete views on microbiome data
- Machine learning approaches in microbiome research: challenges and best practices
- Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
- A toolbox of machine learning software to support microbiome analysis
- Overview of data preprocessing for machine learning applications in human microbiome research