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Matej Holec
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2010 – 2019
- 2015
- [j3]Matej Holec, Ondrej Kuzelka
, Filip Zelezný
Novel gene sets improve set-level classification of prokaryotic gene expression data. BMC Bioinform. 16: 348:1-348:8 (2015) - [j2]David A. Monge
Ensemble learning of runtime prediction models for gene-expression analysis workflows. Clust. Comput. 18(4): 1317-1329 (2015) - 2014
- [c6]David A. Monge
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA 2014: 83-97 - [c5]Matej Holec, Valentin Gologuzov, Jirí Kléma
miXGENE Tool for Learning from Heterogeneous Gene Expression Data Using Prior Knowledge. CBMS 2014: 247-250 - 2012
- [j1]Matej Holec, Jirí Kléma, Filip Zelezný
Comparative evaluation of set-level techniques in predictive classification of gene expression samples. BMC Bioinform. 13(S-10): S15 (2012) - 2011
- [c4]Jiri Belohradsky, David A. Monge
Template-based semi-automatic workflow construction for gene expression data analysis. CBMS 2011: 1-6 - [c3]Jirí Kléma
Comparative Evaluation of Set-Level Techniques in Microarray Classification. ISBRA 2011: 274-285 - [c2]Ondrej Kuzelka
Gaussian Logic for Predictive Classification. ECML/PKDD (2) 2011: 277-292
2000 – 2009
- 2009
- [c1]Matej Holec, Filip Zelezný
Integrating Multiple-Platform Expression Data through Gene Set Features. ISBRA 2009: 5-17
Coauthor Index
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