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Andreas Mayrphone: +43-732-2468-4528 e-mail: mayr@bioinf.jku.at Room: S3 327 (Computer Science Building, Science Park 3) |
Personal data/education
- MSc in Computer Science and Bioinformatics from Johannes Kepler University Linz, Austria
- currently: PhD student in Bioinformatics, Johannes Kepler University Linz, Austria
Research topics
- Deep Learning and Neural Networks
- Machine Learning/Statistics in Bioinformatics
- Chemoinformatics: Drug Target Prediction
- Microarray/Next generation sequencing data processing
Selected Publications
- Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter: DeepTox: Toxicity Prediction using Deep Learning Frontiers in Environmental Science, 2016, link
- Federica Eduati, Lara M Mangravite, Tao Wang, Hao Tang, ... , Sepp Hochreiter, Günter Klambauer, Andreas Mayr, ... , Ivan Rusyn, Fred A Wright, Gustavo Stolovitzky, Yang Xie, Julio Saez-Rodriguez: Prediction of human population responses to toxic compounds by a collaborative competition Nature Biotechnology, Advance online publication, 2015, link
- Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter: Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map Bioinformatics, 2015, link
- Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter: Toxicity Prediction using Deep Learning, arXiv pre-print, 2015 arxiv page
- Djork-Arne Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter: Rectified Factor Networks arXiv pre-print, 2015 arxiv page
- Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Marvin Steijaert, Jörg Wegner, Hugo Ceulemans, Sepp Hochreiter: 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
- Marc Streit, Samuel Gratzl, Michael Gillhofer, Andreas Mayr, Andreas Mitterecker, Sepp Hochreiter: Furby: fuzzy force-directed bicluster visualization BMC Bioinformatics, 2014 link
- Djork-Arne Clevert, Andreas Mayr, Andreas Mitterecker, Günter Klambauer, Armand Valsesia, Karl Forner, Marianne Tuefferd, Willem Talloen, Jerome Wojcik, Hinrich Göhlmann, Sepp Hochreiter Increasing the discovery power of -omics studies Systems Biomedicine, 2013 link
- Günter Klambauer, Karin Schwarzbauer, Andreas Mayr, Djork-Arne Clevert, Andreas Mitterecker, Ulrich Bodenhofer, Sepp Hochreiter cn.MOPS: mixture of Poissons for discovering copy number variations in next generation sequencing data with a low false discovery rate, Nucl. Acids Res., 2012 link
- Djork-Arne Clevert, Andreas Mitterecker, Andreas Mayr, Günter Klambauer, Marianne Tuefferd, An De Bondt, Willem Talloen, Hinrich Göhlmann, Sepp Hochreiter: cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate, Nucl. Acids Res., 2011 link
- Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich H.W. Göhlmann, Ziv Shkedy, Djork-Arne Clevert: FABIA: Factor Analysis for Bicluster Acquisition, Bioinformatics, 2010 link
Teaching
- Exercises in Theoretical Concepts of Machine Learning
- Exercises in Machine Learning: Unsupervised Techniques
- Exercises in Bioinformatics (for students of Biological Chemistry)
- Exercises Bioinformatics II: Theoretical Bioinformatics and Machine Learning