Anna Klimovskaia
Anna Klimovskaia
Facebook AI Research
Verified email at klimovsky.ru
Title
Cited by
Cited by
Year
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), 2016
92016
Comprehensive characterization of ureagenesis in the spfash mouse, a model of human ornithine transcarbamylase deficiency, reveals age‐dependency of …
G Allegri, S Deplazes, N Rimann, B Causton, T Scherer, JW Leff, ...
Journal of inherited metabolic disease 42 (6), 1064-1076, 2019
22019
An upper bound for random measurement error in causal discovery
T Blom, A Klimovskaia, S Magliacane, JM Mooij
arXiv preprint arXiv:1810.07973, 2018
22018
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij, P Forr, JM Mooij, S Magliacane, ...
Proceedings of the 35th Annual Conference on {U} ncertainty in {A} rtificial …, 2018
22018
3 Identification of mechanisms of fractional killing in TRAIL-induced apoptosis from mass cytometry time series snapshots
A Klimovskaia, M Ko, GP Nolan, M Claassen
Identification of causal mechanisms of cell variability in signaling …, 2019
2019
4 Causal learning of signaling pathways from single-cell time series snapshots
A Klimovskaia, S Magliacane, S Ganscha, F Radler, M Claassen
Identification of causal mechanisms of cell variability in signaling …, 2019
2019
Poincaré Maps for Analyzing Complex Hierarchies in Single-Cell Data
A Klimovskaia, D Lopez-Paz, L Bottou, M Nickel
bioRxiv, 689547, 2019
2019
Identification of causal mechanisms of cell variability in signaling networks from single-cell time series snapshots
A Klimovskaia
ETH Zurich, 2019
2019
Causal Discovery in the Presence of Measurement Error.
T Blom, A Klimovskaia, S Magliacane, JM Mooij
UAI, 570-579, 2018
2018
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