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Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (2011)
Bristol
June 27, 2011 to June 30, 2011
ISBN: 978-1-4577-1189-3
pp: 1-6
F. Zelezny , Czech Tech. Univ., Prague, Czech Republic
J. Belohradsky , Czech Tech. Univ., Prague, Czech Republic
D. Monge , Inst. para las Tecnol. de la Informacion y las Comun., UNCuyo, Argentina
C. G. Garino , Inst. para las Tecnol. de la Informacion y las Comun., UNCuyo, Argentina
M. Holec , Czech Tech. Univ., Prague, Czech Republic
ABSTRACT
We propose a technique for semi-automatic construction of gene expression data analysis workflows by grammar-like inference based on predefined workflow templates. The templates represent routinely used sequences of procedures such as normalization, data transformation, classifier learning, etc. Variations of such workflows (such as different instantiations to specific algorithms) may entail significant variance in the quality of the analysis results and our formalism enables to automatically explore such variations. Adhering to proven templates helps preserve the sanity of explored workflows and prevents the combinatorial explosion encountered by fully automatic workflow planners. Here we propose the basic principles of template-based workflow construction and demonstrate their working in the publicly available tool XGENE.ORG for multi-platform gene expression analysis.
INDEX TERMS
XGENE.ORG, semi-automatic workflow template, gene expression analysis, data analysis, grammar-like inference
CITATION
F. Zelezny, J. Belohradsky, D. Monge, C. G. Garino, M. Holec, "Template-based semi-automatic workflow construction for gene expression data analysis", Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, vol. 00, no. , pp. 1-6, 2011, doi:10.1109/CBMS.2011.5999046
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