A5049069494- Data Visualization and Analytics
- Genetics, Bioinformatics, and Biomedical Research
- COVID-19 impact on air quality
- COVID-19 epidemiological studies
- Biomedical Text Mining and Ontologies
- COVID-19 Pandemic Impacts
- Virtual Reality Applications and Impacts
- Bioinformatics and Genomic Networks
- Cell Image Analysis Techniques
- Gene expression and cancer classification
- Gut microbiota and health
- Mass Spectrometry Techniques and Applications
- Multimedia Communication and Technology
- Metabolomics and Mass Spectrometry Studies
Hasselt University
2021-2024
KU Leuven
2021
Some occupational sectors, such as human health and care, food service, cultural sport activities, have been associated with a higher risk of SARS-CoV-2 infection than other sectors. To curb the spread SARS-CoV-2, it is preferable to apply targeted non-pharmaceutical interventions on selected economic rather full lockdown. However, effect these general sector-specific virus circulation has only sparsely studied. We assess COVID-19 incidence under different levels per activity during autumn...
In this paper, we report on our experiences of running visual design workshops within the context a Master's level data visualization course, in remote setting. These aim to teach students explore space for by creating and discussing hand-drawn sketches. We describe technical setup employed, different parts workshop, how actual sessions were run, what extent version can substitute in-person sessions. general, designs created as well feedback provided them indicate that described here be...
Current visualizations in microbiome research rely on aggregations taxonomic classifications or do not show less abundant taxa. We introduce Snowflake: a new visualization method that creates clear overview of the composition collected samples without losing any information due to classification neglecting reads. Snowflake displays every observed OTU/ASV abundance table and provides solution include data’s hierarchical structure additional obtained from downstream analysis (e.g., alpha-...
Abstract Objective To assess the COVID-19 incidence per economic activity during Autumn wave 2020 in Belgium. Methods The 14-day of confirmed COVID–19 cases NACE–BEL code is described periods immediately preceding Belgian more strict measures October 19, 2020, and evaluated longitudinally by a Gaussian–Gaussian modelling two–stage approach. Additionally, number high-risk contacts working segments regions described. Results peak 14–day most sectors reached period 20-November 2, was...
One of the challenges in multi-omics data analysis for precision medicine is efficient exploration undiscovered molecular interactions disease processes. We present BioMOBS, a workflow consisting two visualization tools integrated with an open-source information database to perform clinically relevant analyses (https://github.com/driesheylen123/BioMOBS). performed exploratory pathway BioMOBS and demonstrate its ability generate hypotheses, by reproducing recent findings type 2 diabetes UK...