| Title: |
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning |
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| Author(s): |
Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, Günter Klambauer |
| Published: |
Bioinformatics, December 2017 doi.org/10.1093/bioinformatics/btx806
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| Title: |
Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires |
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| Author(s): |
Victor Greiff, Cédric R. Weber, Johannes Palme, Ulrich Bodenhofer, Enkelejda Miho, Ulrike Menzel, Sai T. Reddy |
| Published: |
J Immunol September 18, 2017 doi.org/10.4049/jimmunol.1700594
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| Title: |
Rectified factor networks for biclustering of omics data |
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| Author(s): |
Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter |
| Published: |
Bioinformatics 33(14):i59-i66, 2017 doi.org/10.1093/bioinformatics/btx226
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| Title: |
panelcn.MOPS: Copy number detection in targeted NGS panel data for clinical diagnostics |
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| Author(s): |
Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid, Ludwine Messiaen, Johannes Zschocke, Günter Klambauer, Sepp Hochreiter, Katharina Wimmer |
| Published: |
Human Mutation, 38(7):889-897, 2017 doi:10.1002/humu.23237
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| Title: |
Self-Normalizing Neural Networks |
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| Author(s): |
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
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| Published: |
Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
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| Title: |
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium |
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| Author(s): |
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
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| Published: |
Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
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| Title: |
Robust Learning by Conditional Independence of Hidden Units |
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| Author(s): |
Karin Schwarzbauer, Markus Hofmarcher, Thomas Adler, Sepp Hochreiter |
| Published: |
Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
DeepSynergy: Prediction of synergies of anti-cancer drugs with Deep Learning |
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| Author(s): |
Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer |
| Published: |
Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Convolutional Neural Networks for Subcellular Protein Localization |
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| Author(s): |
Elisabeth Rumetshofer, Markus Hofmarcher, Sepp Hochreiter, Günter Klambauer |
| Published: |
Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
panelcn.MOPS - a mixture of Poissons model for copy number detection |
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| Author(s): |
Gundula Povysil, Günter Klambauer, Katharina Wimmer, Sepp Hochreiter |
| Published: |
Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
HapRFN: Rectified Factor Networks for identifying short IBD segments |
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| Author(s): |
Gundula Povysil, Djork-Arné Clevert, Sepp Hochreiter |
| Published: |
Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Position kernels as a key to making sense of very rare and private single-nucleotide variants |
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| Author(s): |
Ulrich Bodenhofer, Sepp Hochreiter |
| Published: |
Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Machine Learning-Based Risk Profile Classification: A Case Study for Heart Valve Surgery |
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| Author(s): |
Ulrich Bodenhofer, Bettina Haslinger-Eisterer, Alexander Minichmayer, Georg Hermanutz, Jens Meier |
| Published: |
Workshop on Machine Learning for Health, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Deep Learning for Prediction of Synergistic Effects of Anti-cancer Drugs |
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| Author(s): |
Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer |
| Published: |
Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Deep Learning Yields Virtual Assays |
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| Author(s): |
Thomas Unterthiner, Günter Klambauer, Andreas Mayr, Sepp Hochreiter |
| Published: |
Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
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| Title: |
Toxicity Prediction Using Self-normalizing Networks |
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| Author(s): |
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter |
| Published: |
Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
| Downdload: |
-
|
| Title: |
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium |
|
| Author(s): |
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
|
| Published: |
arXiv.org, June 2017 |
| Download: |
arXiv:1706.08500
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| Title: |
Self-Normalizing Neural Networks |
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| Author(s): |
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
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| Published: |
arXiv.org, June 2017 |
| Download: |
arXiv:1706.02515
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| Title: |
Repurposed High-Throughput Images Enable Biological Activity Prediction For Drug Discovery |
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| Author(s): |
Jaak Simm, Guenter Klambauer, Adam Arany, Marvin Steijaert, Joerg Kurt Wegner, Emmanuel Gustin, Vladimir Chupakhin, Yolanda T. Chong, Jorge Vialard, Peter Buijnsters, Ingrid Velter, Alexander Vapirev, Shantanu Singh, Anne Carpenter, Roel Wuyts, Sepp Hochreiter, Yves Moreau, Hugo Ceulemans
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| Published: |
biorxiv.org, March 2017 |
| Download: |
doi:10.1101/108399
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