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Stefan Ganscha
Stefan Ganscha
ETH Zürich
Verified email at imsb.biol.ethz.ch
Title
Cited by
Cited by
Year
Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability
P Leuenberger, S Ganscha, A Kahraman, V Cappelletti, PJ Boersema, ...
Science 355 (6327), eaai7825, 2017
4112017
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
OT Unke, M Stöhr, S Ganscha, T Unterthiner, H Maennel, S Kashubin, ...
Science Advances 10 (14), eadn4397, 2024
62*2024
Analysis of cell lineage trees by exact Bayesian inference identifies negative autoregulation of Nanog in mouse embryonic stem cells
J Feigelman, S Ganscha, S Hastreiter, M Schwarzfischer, A Filipczyk, ...
Cell systems 3 (5), 480-490. e13, 2016
332016
Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series
A Klimovskaia, S Ganscha, M Claassen
PLoS computational biology 12 (12), e1005234, 2016
222016
Tree‐ensemble analysis assesses presence of multifurcations in single cell data
W Macnair, L De Vargas Roditi, S Ganscha, M Claassen
Molecular systems biology 15 (3), e8552, 2019
42019
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
22018
matLeap: A fast adaptive Matlab-ready tau-leaping implementation suitable for Bayesian inference
J Feigelman, S Ganscha, M Claassen
arXiv preprint arXiv:1608.07058, 2016
22016
Unsupervised and Supervised Learning for Reverse Engineering Biochemical Networks from Time-Series Snapshot Data
S Ganscha
ETH Zurich, 2018
2018
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Articles 1–8