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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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