Learn More
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 from MetaCoreTM (GeneGo, Inc.). Microarray expression data from livers of rat exposed to phenobarbital,(More)
Data envelopment analysis (DEA) is a method for evaluating the management efficiency of decision-making units (DMUs). This article proposes a DEA model for supply-chain management. Traditional studies focused on the selection of partners and the construction of the supply chain. Therefore, this study considers how to optimize the supply chain itself in(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)
  • 1