Researcher
Stein Aerts
- Disciplines (Flanders Institute for Biotechnology):Adaptive agents and intelligent robotics
- Disciplines (KU Leuven):Other biological sciences
- See also: Stein Aerts (Flanders Institute for Biotechnology)
Affiliations
- Laboratory of Computational Biology (VIB-KU Leuven) (Division)
Responsible
From1 Oct 2009 → Today - VIB Center for AI & Computational Biology (Research Center)
Responsible
From1 Jul 2023 → Today - C20 Support (Research group)
Responsible
From1 Jul 2023 → 31 Dec 2023 - Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 30 Sep 2004 - Aerts Lab (Research group)
Responsible
From1 Jan 2017 → Today - Laboratory of Computational Biology (VIB-KU Leuven) (Division)
Member
From1 Oct 2009 → Today - Department of Human Genetics (Department)
Member
From1 Oct 2005 → 30 Nov 2017
Projects
1 - 10 of 66
- Understanding gene regulation in a whole animal: From building a regulatory atlas to decoding gene regulation with deep learningFrom10 Jan 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- SpaceTimeOmics: combining high-throughput spatial omics with AI to model gene regulation in space and timeFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Interpretation of genomic regulatory variation in the human brain and Parkinson’s Disease by integrating deep learning with single-cell multi-omicsFrom1 Oct 2023 → TodayFunding: FWO junior postdoctoral fellowship
- Deep learning based synthetic design and massively parallel reporter assays to characterize and exploit cell type specific enhancersFrom1 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Enhancer-AI: AI-driven modelling and design of cell type specific enhancers for gene therapyFrom1 Oct 2023 → TodayFunding: FWO Strategic Basic Research (SBO)
- Deep learning solutions for deciphering gene regulation in the human brainFrom7 Mar 2023 → TodayFunding: FWO Strategic Basic Research Grant
- Applications of deep learning for cancer genomicsFrom1 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Evolution of the genomic regulatory code underlying neuronal diversityFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- SymBioSys: Computationally mapping genomic heterogeneity from long read sequencing dataFrom1 Oct 2022 → TodayFunding: BOF - projects
- A whole-organism approach to uncover gene regulatory mechanisms in Drosophila melanogaster: towards a regulatory map at single-cell resolutionFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
21 - 30 of 123
- Decoding gene regulation in the fly brain(2022)
Authors: Jasper Janssens, Ibrahim Ihsan Taskiran, Katina Spanier, Florian De Rop, Valerie Christiaens, Stein Aerts
Pages: 630 - + - Analysis of long and short enhancers in melanoma cell states(2021)
Authors: David Mauduit, Ibrahim Ihsan Taskiran, Jonas Demeulemeester, Jasper Wouters, Stein Aerts
- Tyrosine-Dependent Phenotype Switching Occurs Early in Many Primary Melanoma Cultures Limiting Their Translational Value(2021)
Authors: Jasper Wouters, Stein Aerts, Chris Marine
- 14q32 rearrangements deregulating BCL11B mark a distinct subgroup of T-lymphoid and myeloid immature acute leukemia(2021)
Authors: Kim De Keersmaecker, Peter Vandenberghe, Stein Aerts, Jan Cools
Pages: 773 - 784 - TECHNOLOGICAL AND COMPUTATIONAL ADVANCEMENTS IN DROSOPHILA SINGLE-CELL OMICS(2021)
Authors: Kristofer Davie, Stein Aerts
- Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning(2021)
Authors: Ibrahim Ihsan Taskiran, Jonas Demeulemeester, David Mauduit, Valerie Christiaens, Jasper Wouters, Stein Aerts
- Actuation enhances patterning in human neural tube organoids(2021)
Authors: Gregorius Andika Rustandi, Benjamin Gorissen, Kristofer Davie, Catherine Verfaillie, Maurilio Sampaolesi, Peter Dedecker, Hans Van Oosterwyck, Stein Aerts, Adrian Ranga
- Integrating genetic, environmental and developmental variation to study gene regulatory mechanisms(2021)
Authors: Olga Sigalova, Stein Aerts
- Chromatin accessibility profiling methods(2021)
Authors: Stein Aerts
- Cross-species analysis of enhancer logic using deep learning(2020)
Authors: Liesbeth Minnoye, Ibrahim Ihsan Taskiran, David Mauduit, Linde Van Aerschot, Panagiotis Karras, Chris Marine, Jasper Wouters, Stein Aerts