Code
01D10521
Duration
01 October 2021 → 30 September 2025
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Machine learning and decision making
- Bio-informatics
- Computational biomodelling and machine learning
- Single-cell data analysis
Keywords
Single-cell bioinformatics
systems biology
intercellular communication
Project description
In this project we will develop novel computational techniques to improve modeling of intercellular communication. We will further extend NicheNet, a recent state-of-the-art tool developed in the Saeys lab, to facilitate true systems biology and unravel intercellular communication in time and space by combining single-cell transcriptomics with novel technologies such as spatial transcriptomics.