Author(s): | Gundula Povysil, Sepp Hochreiter |
Published: | Genome Biol. Evol., 8(12): 3406-3416, 2016 doi:10.1093/gbe/evw234 |
IBD Sharing between Africans, Neandertals, and Denisovans Genome Biol. Evol.
Author(s): | Gundula Povysil, Sepp Hochreiter |
Published: | Genome Biol. Evol., 8(12): 3406-3416, 2016 doi:10.1093/gbe/evw234 |
Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discovery J. Bioinform. Comput. Biol.
Author(s): | Nolen Joy Perualila-Tan, Ziv Shkedy, Willem Talloen, Hinrich W. H. Göhlmann, QSTAR Consortium, Marijke Van Moerbeke |
Published: | J. Bioinform. Comput. Biol., 14(4):1650018, 2016 doi:10.1142/S0219720016500189 |
A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic biomarker development Stat. Appl. Genet. Mol. Biol.
Author(s): | Nolen Perualila-Tan, Adetayo Kasim, Willem Talloen, Bie Verbist, Hinrich W.H. Göhlmann, QSTAR Consortium, Ziv Shkedy |
Published: | Stat. Appl. Genet. Mol. Biol., 15(4):1544-6115, 2016 doi:10.1515/sagmb-2014-0086 |
Transcriptome profiling of antimicrobial resistance in Pseudomonas aeruginosa Antimicrob. Agents Chemother.
Author(s): | Ariane Khaledi, Monika Schniederjans, Sarah Pohl, Roman Rainer, Ulrich Bodenhofer, Boyang Xia, Frank Klawonn, Sebastian Bruchmann, Matthias Preusse, Denitsa Eckweiler, Andreas Dötsch, Susanne Häussler |
Published: | Antimicrob. Agents Chemother., 60(8):4722-4733, 2016 doi:10.1128/AAC.00075-16 |
Hsa-miR-375 is a predictor of local control in early stage breast cancer Clin. Epigenetics
Author(s): | Franz Zehentmayr, Cornelia Hauser-Kronberger, Barbara Zellinger, Falk Hlubek, Claudia Schuster, Ulrich Bodenhofer, Gerd Fastner, Heinz Deutschmann, Philipp Steininger, Roland Reitsamer, Thorsten Fischer, Felix Sedlmayer |
Published: | Clin. Epigenetics, 8:28, 2016 doi:10.1186/s13148-016-0198-1 |
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DeepTox: Toxicity Prediction using Deep Learning Front. Environ. Sci.
Author(s): | Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter |
Published: | Front. Environ. Sci. 3:80., 2015 doi:10.3389/fenvs.2015.00080 |
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Abstract: | Abstract |
Long Short-Term Memory For Autonomous Driving Cars NIPS
Author(s): | Michael Treml, José Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Ulrich Bodenhofer, Bernhard Nessler, Sepp Hochreiter |
Published: | Workshop on Machine Learning for Intelligent Transport Systems, Conference Neural Information Processing Systems Foundation (NIPS 2016), December 5-10, 2016 |
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Deep Learning for predicting synergy effects of drug combinations NIPS
Author(s): | Kristina Preuer, Günter Klambauer, Sepp Hochreiter |
Published: | Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2016), December 5-10, 2016 |
HapRFN: a deep learning method for identifying short IBD segments NIPS
Author(s): | Gundula Povysil, Djork-Arné Clevert, Sepp Hochreiter |
Published: | Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2016), December 5-10, 2016 |
Speeding up Semantic Segmentation for Autonomous Driving NIPS
Author(s): | Michael Treml, José Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter |
Published: | Workshop on Machine Learning for Intelligent Transport Systems, Conference Neural Information Processing Systems Foundation (NIPS 2016), December 5-10, 2016 |
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Speeding up Semantic Segmentation for Autonomous Driving NIPS
Author(s): | Michael Treml, José Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, Felix Friedmann, Peter Schuberth, Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter |
Published: | Workshop on Machine Learning for Intelligent Transport Systems, Conference Neural Information Processing Systems Foundation (NIPS 2016), December 5-10, 2016 |
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panelcn.MOPS: CNV detection in targeted panel sequencing data for diagnostic use ASGH
Author(s): | Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid, Ludwine Messiaen, Katharina Wimmer, Günter Klambauer, Sepp Hochreiter |
Published: | Poster at Annual Meeting of the American Society of Human Genetics (ASHG 2016), Vancouver, Canada, October 18-22, 2016 |
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HapRNF: a deep learning method to identify short IBD segments ASHG
Author(s): | Gundula Povysil, Djork-Arné Clevert, Sepp Hochreiter |
Published: | Poster at Annual Meeting of the American Society of Human Genetics (ASHG 2016), Vancouver, Canada, October 18-22, 2016 |
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Deep Learning for Drug Target Prediction GTC Europe
Author(s): | Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter |
Published: | Poster at GPU Technology Conference Europe (GTC Europe), September 26-29, 2016 Best-Paper Award |
Long Short-Term Memory For Autonomous Driving Cars GTC Europe
Author(s): | Michael Treml |
Published: | Poster at GPU Technology Conference Europe (GTC Europe), September 26-29, 2016 |
Rectified Factor Networks for Biclustering ICLR
Author(s): | Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter |
Published: | Workshop Paper at International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico, May 2-4, 2016 |
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Understanding Very Deep Networks via Volume Conservation ICLR
Author(s): | Thomas Unterthiner, Sepp Hochreiter |
Published: | Workshop Paper at International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico, May 2-4, 2016 |
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Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) ICLR
Author(s): | Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter |
Published: | International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico, May 2-4, 2016 |
Download: | arXiv:1511.07289 [cs.LG] / PDF |
Applied Biclustering Methods for Big and High-Dimensional Data Using R Taylor & Francis Group
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, 2016 |
Introduction Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 1-10, 2016 |
δ-biclustering and FLOC Algorithm Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Adetayo Kasim, Sepp Hochreiter, Ziv Shkedy |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 37-48, 2016 |
The Plaid Model Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Ziv Shkedy, Ewoud De Troyer, Adetayo Kasim, Sepp Hochreiter, Heather Turner |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 73-88, 2016 |
FABIA Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Sepp Hochreiter |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 99-117, 2016 |
Gene Expression Experiments in Drug Discovery Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Willem Talloen, Hinrich W.H. Göhlmann, Bie Verbist, Nolen Joy Perualila, Ziv Shkedy, Adetayo Kasim, QSTAR Consortium |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 159-174, 2016 |
Biclustering Methods in Chemoinformatics and Molecular Modeling Applied Biclustering Methods for Big and High-Dimensional Data Using
Author(s): | Nolen Joy Perualila, Ziv Shkedy, Aakash Chavan Ravindranath, Georgios Drakakis, Sonia Liggi, Andreas Bender, Adetayo Kasim, QSTAR Consortium, Willem Talloen, Hinrich W.H. Göhlmann |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 175-202, 2016 |
Ranking of Biclusters in Drug Discovery Experiments Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Nolen Joy Perualila, Ziv Shkedy, Sepp Hochreiter, Djork-Arné Clevert |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 223-238, 2016 |
HapFABIA: Biclustering for Detecting Identity by Descent Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Sepp Hochreiter |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 239-259, 2016 |
The BiclustGUI Package Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Ewoud De Troyer, Martin Otava, Jitao David Zhang, Setia Pramana, Tatsiana Khamiakova, Sebastian Kaiser, Martin Sill, Aedin Culhane, Daniel Gusenleitner,Pierre Gestraud, Gabor Csardi, Mengsteab Aregay, Sepp Hochreiter, Gunter Klambauer, Djork-Arné Clevert, Tobias Verbeke, Nolen Joy Perualila, Adetayo Kasim, Ziv Shkedy |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 321-348, 2016 |
biclustGUI Shiny App Applied Biclustering Methods for Big and High-Dimensional Data Using R
Author(s): | Ewoud De Troyer, Rudradev Sengupta, Martin Otava, Jitao David Zhang, Sebastian Kaiser, Aedin Culhane, Daniel Gusenleitner, Pierre Gestraud, Gabor Csardi, Sepp Hochreiter, Gunter Klambauer, Djork-Arné Clevert, Nolen Joy Perualila, Adetayo Kasim, Ziv Shkedy |
Editor(s): | Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen |
Published: | Applied Biclustering Methods for Big and High-Dimensional Data Using R, Taylor & Francis Group, Chapman & Hall/CRC Biostatistics Series, ISBN 9781482208238, pp. 373-383, 2016 |
Multi-Target Deep Neural Networks for Toxicity Prediction Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Thomas Unterthiner |
Long Short-Term Memory and convolutional neural networks for SNV-based phenotype prediction Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Michael Widrich |
The Maximum Common Subgraph Kernel For Predicting Kinase Inhibitors Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Sabine Schwandegger |
Multiple Sequence Alignment with R Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Enrico Bonatesta, Christoph Kainrath |
Parallel Long Short Term Memory LSTM Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Martin Moser |
Deep Learning for Drug Combination Synergy Prediction Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Kristina Preuer |
Classification of (alternatively) spliced exons using state-of-the-art sequence kernels Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Alexander Kogler |
Accurate detection of tumor copy number variations in high-throughput sequencing data Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Patrick Praher |
panelcn.MOPS reaches clinical standards as a copy number variation detection tool for targeted panel sequencing Master Thesis
Published: | Master Thesis, 2016 |
Author(s): | Verena Haunschmid |