David Adametz
David Adametz
Data Scientist
Verified email at ubs.com
Title
Cited by
Cited by
Year
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
482016
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
482016
Bayesian partitioning of large-scale distance data
D Adametz, V Roth
Advances in Neural Information Processing Systems 24, 1368-1376, 2011
92011
Bayesian markov blanket estimation
D Kaufmann, S Parbhoo, A Wieczorek, S Keller, D Adametz, V Roth
Artificial Intelligence and Statistics, 333-341, 2016
52016
Recovering networks from distance data
S Prabhakaran, D Adametz, KJ Metzner, A Böhm, V Roth
Machine learning 92 (2-3), 251-283, 2013
52013
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 62, 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