Max Horn
Max Horn
PhD Student in Machine Learning and Computational Biology, ETH Zürich
Verified email at bsse.ethz.ch - Homepage
TitleCited byYear
Post-antibiotic gut mucosal microbiome reconstitution is impaired by probiotics and improved by autologous FMT
J Suez, N Zmora, G Zilberman-Schapira, U Mor, M Dori-Bachash, ...
Cell 174 (6), 1406-1423. e16, 2018
1162018
TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets
A Stank, DB Kokh, M Horn, E Sizikova, R Neil, J Panecka, S Richter, ...
Nucleic acids research 45 (W1), W325-W330, 2017
132017
Backbone circularization of Bacillus subtilis family 11 xylanase increases its thermostability and its resistance against aggregation
MC Waldhauer, SN Schmitz, C Ahlmann-Eltze, JG Gleixner, CC Schmelas, ...
Molecular BioSystems 11 (12), 3231-3243, 2015
72015
Learning disentangled representations with reference-based variational autoencoders
A Ruiz, O Martinez, X Binefa, J Verbeek
arXiv preprint arXiv:1901.08534, 2019
6*2019
Neural persistence: A complexity measure for deep neural networks using algebraic topology
B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt
arXiv preprint arXiv:1812.09764, 2018
32018
Temporal convolutional networks and dynamic time warping can drastically improve the early prediction of sepsis
M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt
arXiv preprint arXiv:1902.01659, 2019
22019
Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series
S Ganscha, V Fortuin, M Horn, E Arvaniti, M Claassen
bioRxiv, 356477, 2018
12018
Topological Autoencoders
M Moor, M Horn, B Rieck, K Borgwardt
arXiv preprint arXiv:1906.00722, 2019
2019
Machine learning for early prediction of circulatory failure in the intensive care unit
SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ...
arXiv preprint arXiv:1904.07990, 2019
2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt
arXiv preprint arXiv:1902.01659, 2019
2019
Exploring target flexibility for drug design
D Kokh, A Stank, M Horn, E Sizikova, R Neil, J Panecka, S Richter, ...
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 254, 2017
2017
BBF RFC 105: The Intein standard-a universal way to modify proteins after translation
C Ahlmann-Eltze, C Bunne, M Büscher, J Gleixner, M Horn, A Huhn, ...
2015
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Articles 1–12