Projects
Knowledge discovery for biological processes by integraing heterogeneous data sources Ghent University
In this project we want to explore how automated data mining and text mining techniques can be developed to provide researchers with automatically generated summaries to enable them to gather as much information as possible about a specific biological process or a group of genes. This project aims to use the richness of current data sources more efficiently.
Cellular biological validation of a perfusion bioreactor for skeletal tissue engineering. KU Leuven
New methodology for the calculation of local magnetic anisotropy effects in large polynuclear complexes of biological interest and single-molecule magnets: developments, implementation and application. KU Leuven
Algorithms for Bayesian network modeling of high dimensional biological data KU Leuven
clinical and biological information pose challenges in reliable
biomedical decision making. Considering all data pertaining to specific
cases becomes increasingly difficult when clinical data is enhanced by
high-dimensional information such as microarray data, proteomics data
and in the near future even full genome sequences of patients. Bayesian
...
Performing microscopic analysis and determine species composition of phytoplankton biological quality element for the Flemish rivers in accordance with the Framework Directive Ghent University
The mission aims to provide a quality manner microscopic analyzes and species compositions for the biological quality element for phytoplankton Flemish rivers, this according to the European Water Framework Directive. The phytoplankton counts should go through inverted microscope according to the CEN standard. To this end, -, cell counts are carried out up to 400 units; - is determined at least to genus level; - of each taxon are measured a ...
Computer design and engineering of biological processes. KU Leuven
The IOF program CADcracker aims to facilitate the interaction and collaboration between researchers and stakeholders in the agrofood chain on innovative computational solutions to understand, design, optimize and control processes and products in the agrofood chain. Computer aided design and engineering (CADE) tools, from numerical simulation to artificial intelligence, are developed and applied for optimizing existing and novel agrofood ...