Pauline Hiort
WiMi - PhD Student Takustr. 9, R. 160
pauline.hiort(at)fu-berlin.de
Research Interests
- Network analysis
- Multi-omics data analysis
- Drug response prediction
- Machine learning methods
In my research I focus on (multi-)drug response prediction using multi-omics networks with various prediction methods including machine-learning-based methods.
Research Projects
- DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks: link
- Network-based drug-drug combination classification
Publications and Presentations
- Hiort P et al. (2022). DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks. Bioinformatics, 38, ii113–ii119. DOI
- Poster at Research in Computational Molecular Biology 2023: Integrating machine learning and network-based approaches to improve the classification of drug combinations by Hiort P, Renard BY and Baum K
- Poster at European Conference on Computational Biology 2022: DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks by Hiort P, Hugo J, Zeinert J, Müller N, Kashyap S, Rajapakse JC, Azuaje F, Renard BY, and Baum K
- Poster at German Conference on Bioinformatics 2022: Finding relevant data layers in multi-omics network-based drug response predictions by Hiort P, Hugo J, Zeinert J, Müller N, Kashyap S, Rajapakse JC, Azuaje F, Renard BY, and Baum K
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