Projects
RNAct: Enabling proteins with RNA recognition motifs for synthetic biology and bio-analytics (OZR Bonus EU) Vrije Universiteit Brussel
Influence of distinct process-induced (micro)structures on the in vitro starch digestibility of common beans: A kinetic approach KU Leuven
Transitioning towards food systems favourable for both human health and environmental sustainability has been recently identified as an immediate challenge. In this context, a significant increase in consumption of plant-based foods (e.g. cereals, fruits, legumes, nuts, vegetables) is being strongly promoted to improve health and environmental benefits. Consequently, the development of safe and nutritious food products from ...
Advancing the prediction and understanding of coding variant effects. Vrije Universiteit Brussel
Deepening the Methodology behind Data Integration and Dimensionality Reduction: Application in Life Sciences KU Leuven
The problems of high dimensionality and heterogeneity of data always raise
lots of challenges in computational biology and chemistry. As the size of data
sets increase, as well their complexity, dimensionality reduction and advanced
analytics will gain its importance. The past 10 years or so, data integration has
become an active area of research in the field of machine learning, bioinformatics
and ...
Cooperation in connection with the financing in 2016 of the Flemish participation in the ESFRI project EMBRC Hasselt University
Determination of subunit composition and architecture of supramolecular and biological complexes using mass spectrometry coupled with ion mobility spectroscopy and allied techniques. University of Antwerp
Nitrogen fertilization in ornamental plant production based on in-season demands through proximal sensing and soil modelling KU Leuven
The ornamental plant production sector produces high quality products, but faces challenges in times of increasing environmental constraints.
Growth patterns and nitrogen uptake dynamics of five ornamental crops were determined during three growing seasons (2016-2018). This resulted in nitrogen uptake quantities sufficient for optimum plant quality.
Open field production of herbaceous and woody ornamentals is characterized by a ...
Kernel Based Methods for Microarray and Mass Spectrometry Data Analysis KU Leuven
Microarray and mass spectrometry data sources measure the activity and/or expression of thousands of genes and proteins, respectively, on a given set of biological samples. Analysis of the information contained in such samples has become a crucial activity in cancer research during the ...
Generic Machine Learning algorithms for Real-time Human-Computer Interaction KU Leuven
The goal is to build a generic classifier for gesture interaction applications. This kind of applications use directed, conscious intentional interactions that are clearly defined in time and space, for example gestures for selection and manipulation. The classifier needs to be generic and can be applied to different types of sensors and different gestures.The sensors which will be discussed are inertial measurement units (a combination of ...