Dr. J.S. (Joana) de Pinho Gonçalves
Dr. J.S. (Joana) de Pinho Gonçalves
Profiel
Short bio
Website: goncalveslab.tudelft.nl I am an Assistant Professor in Computer Science at the Delft University of Technology (TUDelft). My lab does research on Computational Molecular Biomedicine. Our focus is on on pattern recognition and machine learning approaches to understand gene regulation, uncover disruptions involved in complex disease (especially cancer), identify diagnostic signatures, and predict novel therapeutic targets. We are also interested in addressing fundamental challenges in machine learning that arise in our application domain, such as learning from few or biased samples, jointly learning from labelled and unlabelled data, or learning from multimodal data. Our lab has strong collaborations with leading experimental labs at medical centres in the Netherlands and abroad. Previously, I was a postdoc in computational cancer biology with Lodewyk Wessels at the TU Delft and the Netherlands Cancer Institute (NKI). Before that, I was a Marie Curie/ERCIM postdoctoral fellow in algorithmic computational biology with Gunnar Klau at the Netherlands Research Centre for Mathematics and Informatics (CWI). I did a PhD in computer science with Sara Madeira at the Technical University of Lisbon, and also spent just over a year in the bioinformatics lab of Yves Moreau at the University of Leuven.
Expertise
Publicaties
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2024
The chromatin landscape of healthy and injured cell types in the human kidney
Debora L. Gisch / Michelle Brennan / Blue B. Lake / Jeannine Basta / Mark S. Keller / Joana P. Gonçalves / L.G. Migas / Raf Van de Plas / R. Lardenoije / More Authors
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2023
Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)
Sanjay Jain / Liming Pei / Jeffrey M. Spraggins / Michael Angelo / James P. Carson / Niels Gehlenborg / Fiona Ginty / Joana P. Gonçalves / Raf Van de Plas / More Authors
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2023
ELISL: early-late integrated synthetic lethality prediction in cancer
Y.I. Tepeli / C.F. Seale / Joana P. Gonçalves
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2022
Overcoming Selection Bias in Synthetic Lethality Prediction
Colm Seale / Yasin Tepeli / Joana P. Gonçalves
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2019
Multiplexed Cas9 targeting reveals genomic location effects and gRNA-based staggered breaks influencing mutation efficiency
Santiago Gisler / Joana P. Gonçalves / Waseem Akhtar / Johann de Jong / Alexey V. Pindyurin / Lodewyk F.A. Wessels / Maarten van Lohuizen
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