Kristina Preuer
Johannes Kepler University of Linz(AT)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Bioinformatics and Genomic Networks, Metabolomics and Mass Spectrometry Studies
Most-Cited Works
- → DeepSynergy: predicting anti-cancer drug synergy with Deep Learning(2017)651 cited
- → Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery(2018)326 cited
- → Interpretable Deep Learning in Drug Discovery(2019)12 cited
- → Fr\\'echet ChemNet Distance: A metric for generative models for molecules\n in drug discovery(2018)5 cited
- Fréchet ChemblNet Distance: A metric for generative models for molecules.(2018)
- Deep Learning for Drug Combination Synergy Prediction / eingereicht von Kristina Preuer, BSc.(2016)
- Deep Learning in Drug Discovery / submitted by Kristina Preuer(2019)