Günter Klambauer

phone: +43-732-2468-4520
fax: +43-732-2468-4539

Room: S3 327 (Computer Science Building, Science Park 3)

Curriculum Vitae: PDF

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter (2017). Self-Normalizing Neural Networks. Advances in Neural Information Processing Systems 30, 972--981. [PDF]

Kristina Preuer, Richard P Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, and Günter Klambauer (2017). DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning. Bioinformatics, Advance Access. doi: 10.1093/bioinformatics/btx806

Jaak Simm, Günter Klambauer, Adam Arany, ... & Hugo Ceulemans (2017). Repurposed high-throughput images enable biological activity prediction for drug discovery. bioRxiv, 108399. doi: 10.1101/108399

Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter (2016). DeepTox: Toxicity Prediction using Deep Learning, Frontiers in Environmental Science, 3:80. doi: 10.3389/fenvs.2015.00080

Federica Eduati, Lara M Mangravite, Tao Wang, Hao Tang, ... , Sepp Hochreiter, Günter Klambauer, Andreas Mayr, ... , Ivan Rusyn, Fred A Wright, Gustavo Stolovitzky, Yang Xie, and Julio Saez-Rodriguez (2015). Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, advance online publication. http://doi:10.1038/nbt.3299.

Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter (2015). Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map. Bioinformatics, advance access. http://doi:10.1093/bioinformatics/btv373.

Günter Klambauer, Bie Verbist, Liesbet Vervoort, Willem Talloen, QSTAR Consortium, Ziv Shkedy, Olivier Thas, Andreas Bender, Hinrich W.H. Göhlmann, Sepp Hochreiter (2015). Using transcriptomics to guide lead optimization in drug discovery projects. Drug Discovery Today, 20(5). http://dx.doi.org/10.1016/j.drudis.2014.12.014.

Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Marvin Steijaert, Jörg Wegner, Hugo Ceulemans, Sepp Hochreiter (2014). Deep Learning as an Opportunity in Virtual Screening, Deep Learning and Representation Learning Workshop, in conjunction with Neural Information Processing Systems (NIPS 2014), Montreal, Canada, 2014, PDF

Klambauer, G., Unterthiner, T., & Hochreiter, S. (2013). DEXUS: identifying differential expression in RNA-Seq studies with unknown conditions. Nucleic Acids Research, 41(21), e198-e198. doi:10.1093/nar/gkt834

Klambauer, G., Schwarzbauer, K., Mayr, A., Clevert, D. A., Mitterecker, A., Bodenhofer, U., & Hochreiter, S. (2012). cn. MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Nucleic Acids Research, 40(9), e69-e69. doi:10.1093/nar/gks003

Tox21 Data Challenge (2014): Winner of the Grand Challenge, Nuclear Receptor Panel, Stress Response Panel, and six of twelve subchallenges. https://tripod.nih.gov/tox21/challenge/leaderboard.jsp https://ncats.nih.gov/news/releases/2015/tox21-challenge-2014-winners (Teams ``Bioinf@JKU'' and ``Bioinf@JKU-ensembleX'', Method DeepTox)
NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge (2013): Best performing method at the prediction of average cytotoxicity. https://www.synapse.org/#!Synapse:syn1761567/wiki/60840 (Team ``Austria'')

Backward dynamics of self-normalizing networks, Pieter-Jan Hoedt, PDF
Generative RNN models for molecular strings with biological activity profiles, ongoing
Generative adversarial networks for molecular graphs, ongoing
Improving image-based compound activity prediction with convolutional neural networks, ongoing
Deep Learning for Drug Combination Synergy Prediction
The Maximum Common Subgraph Kernel For Predicting Kinase Inhibitors
Panelcn.MOPS reaches clinical standards as a copy number variation detection tool for targeted panel sequencing
Accurate detection of tumor copy number variations in high-throughput sequencing data
Detecting CNVs in the 1000 Genomes Project Data Using cn.MOPS and Relating the Results to Transcriptome Sequencing Data

2017: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2016: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2014: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2013: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2012/2013: Sequence Analysis and Phylogenetics, Lecturer, Johannes Kepler University, Linz, Austria.
2012: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2011/2012: Exercises in Bioinformatics I: Sequence Analysis and Phylogenetics, Lecturer, Johannes Kepler University, Linz, Austria.
2011: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2010/2011: Exercises in Bioinformatics I: Sequence Analysis and Phylogenetics, Lecturer, Johannes Kepler University, Linz, Austria.
2010: Special Topics on Bioinformatics: Population genetics, Lecturer, Johannes Kepler University, Linz, Austria.
2009/2010: Exercises in Bioinformatics I: Sequence Analysis and Phylogenetics, Lecturer, Johannes Kepler University, Linz, Austria.
2008-2009: Mathematics and Biology, Secondary School Teacher, BORG Linz, Linz
2007-2008: Mathematics and Biology, Secondary School Teacher, BORG Bad Leonfelden, Bad Leonfelden

Trivia: My Erdös number is 4 and my Bacon index is also 4 (see here).