Yulia Rubanova
Title
Cited by
Cited by
Year
Neural ordinary differential equations
TQ Chen, Y Rubanova, J Bettencourt, DK Duvenaud
Advances in neural information processing systems, 6571-6583, 2018
3882018
The evolutionary landscape of localized prostate cancers drives clinical aggression
SMG Espiritu, LY Liu, Y Rubanova, V Bhandari, EM Holgersen, LM Szyca, ...
Cell 173 (4), 1003-1013. e15, 2018
672018
The evolutionary history of 2,658 cancers
M Gerstung, C Jolly, I Leshchiner, SC Dentro, SG Rosado, D Rosebrock, ...
BioRxiv, 161562, 2018
332018
The evolutionary history of 2,658 cancers
M Gerstung, C Jolly, I Leshchiner, SC Dentro, S Gonzalez, D Rosebrock, ...
Nature 578 (7793), 122-128, 2020
212020
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Y Rubanova, TQ Chen, DK Duvenaud
Advances in Neural Information Processing Systems, 5321-5331, 2019
212019
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ...
BioRxiv, 312041, 2018
17*2018
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types. bioRxiv. 2018
SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ...
URL https://www. biorxiv. org/content/10.1101/312041v4, 0
7
Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Y Rubanova, R Shi, CF Harrigan, R Li, J Wintersinger, N Sahin, ...
Nature communications 11 (1), 1-12, 2020
6*2020
TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies
CF Harrigan, Y Rubanova, Q Morris, A Selega
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25, 238, 2020
2020
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Articles 1–9