Integrating Multiple-Platform Expression Data through Gene Set Features. - Matej Holec; Filip Zelezný; Jirí Kléma; Jakub Tolar (ISBRA, 2009)

Template-based semi-automatic workflow construction for gene expression data analysis. - Jiri Belohradsky; David A. Monge; Filip Zelezný; Matej Holec; Carlos García Garino (CBMS, 2011)

Comparative Evaluation of Set-Level Techniques in Microarray Classification. - Jirí Kléma; Matej Holec; Filip Zelezný; Jakub Tolar (ISBRA, 2011)

Gaussian Logic for Predictive Classification. - Ondrej Kuzelka; Andrea Szabóová; Matej Holec; Filip Zelezný (ECML/PKDD (2), 2011)

Comparative evaluation of set-level techniques in predictive classification of gene expression samples. - Matej Holec; Jirí Kléma; Filip Zelezný; Jakub Tolar (BMC Bioinform., 2012)

Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. - David A. Monge; Matej Holec; Filip Zelezný; Carlos García Garino (CARLA, 2014)

miXGENE Tool for Learning from Heterogeneous Gene Expression Data Using Prior Knowledge. - Matej Holec; Valentin Gologuzov; Jirí Kléma (CBMS, 2014)

Novel gene sets improve set-level classification of prokaryotic gene expression data. - Matej Holec; Ondrej Kuzelka; Filip Zelezný (BMC Bioinform., 2015)

Ensemble learning of runtime prediction models for gene-expression analysis workflows. - David A. Monge; Matej Holec; Filip Zelezný; Carlos García Garino (Clust. Comput., 2015)