Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
PAGE: phase-shifted analysis of gene expression
Bioinformatics
SEGS: Search for enriched gene sets in microarray data
Journal of Biomedical Informatics
Relational subgroup discovery for descriptive analysis of microarray data
CompLife'06 Proceedings of the Second international conference on Computational Life Sciences
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Scientific workflows are becoming more popular in the research community, due to their ease of creation and use, and because of the benefits of repeatability of such workflows. In this paper we investigate the benefits of workflows in a genomics experiment which requires intensive computing as well as parallelization, and show that substantial optimizations in rule redundancy reduction can be achieved by simple workflow parallelization.