David Adametz
David Adametz
Data Scientist
Verified email at ubs.com
Title
Cited by
Cited by
Year
Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient
E Dazert, M Colombi, T Boldanova, S Moes, D Adametz, L Quagliata, ...
Proceedings of the National Academy of Sciences 113 (5), 1381-1386, 2016
502016
Gene expression analysis of biopsy samples reveals critical limitations of transcriptome‐based molecular classifications of hepatocellular carcinoma
Z Makowska, T Boldanova, D Adametz, L Quagliata, JE Vogt, MT Dill, ...
The Journal of Pathology: Clinical Research 2 (2), 80-92, 2016
492016
Bayesian partitioning of large-scale distance data
D Adametz, V Roth
Advances in Neural Information Processing Systems 24, 1368-1376, 2011
92011
Recovering networks from distance data
S Prabhakaran, D Adametz, KJ Metzner, A Böhm, V Roth
Machine learning 92 (2-3), 251-283, 2013
52013
Bayesian markov blanket estimation
D Kaufmann, S Parbhoo, A Wieczorek, S Keller, D Adametz, V Roth
Artificial Intelligence and Statistics, 333-341, 2016
42016
Information Bottleneck for Pathway-Centric Gene Expression Analysis
D Adametz, M Rey, V Roth
German Conference on Pattern Recognition, 81-91, 2014
22014
Distance-based network recovery under feature correlation
D Adametz, V Roth
Advances in Neural Information Processing Systems, 775-783, 2014
22014
Bayesian Markov Blanket Estimation
D Kaufmann, S Parbhoo, A Wieczorek, S Keller, D Adametz, V Roth
arXiv preprint arXiv:1510.01485, 2015
2015
P0309: Gene expression profiling of hepatocellular carcinoma biopsies reveals three molecular classes with distinct clinical and biological properties
Z Makowska, T Boldanova, D Adametz, L Quagliata, JE Vogt, MT Dill, ...
Journal of Hepatology, S424-S425, 2015
2015
Invariances for Gaussian models
D Adametz
University of Basel, 2015
2015
Supplement to Bayesian Markov Blanket Estimation
D Kaufmann, S Parbhoo, A Wieczorek, S Keller, D Adametz, V Roth
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Articles 1–11