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Russia # The views expressed in this paper are those of the authors and do not represent FDA policy 2 Abstract We describe a novel approach to the analysis of toxicogenomics data and elucidation of biological networks affected by drug treatments. In this method approximately 15,000 linear pathway modules were generated from manually assembled pathway maps(More)
—To extend the sensitivity analysis for DEA (Data Envelopment Analysis), this paper proposes FA-DEA (Frontier Assignment based DEA). The basic idea of FA-DEA is to allow decision maker to decide frontier intentionally while the fundamental DEA and super-DEA decides frontier computationally. Then FA-DEA provides chances to exclude extra-influential DMU(More)
To measure efficiency of DMUs (Decision Making Units), DEA (Data Envelopment Analysis) clarifies relations between input and output elements respectively. Although selection of these data is entrusted to analyst, criteria of selection are not universal. Therefore, reasonability of data selection is sometimes controversial. Then the purpose of this study is(More)
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