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Template-Based Semi-Automatic Workflow Construction for Gene Expression Data Analysis
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BibTeX
@MISC{Bělohradský_template-basedsemi-automatic,
author = {Jiří Bělohradský and David Monge and Filip Železný and Matej Holec and Carlos García Garino},
title = {Template-Based Semi-Automatic Workflow Construction for Gene Expression Data Analysis},
year = {}
}
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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 multiplatform gene expression analysis. 1.
Keyphrases
template-based semi-automatic workflow construction gene expression data analysis semi-automatic construction significant variance combinatorial explosion analysis result multiplatform gene expression analysis gene expression data analysis workflow explored workflow predefined workflow template grammar-like inference specific algorithm template-based workflow construction different instantiation data transformation available tool xgene automatic workflow planner basic principle
