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Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the high utility itemsets based on information in the transaction database and external information about utilities. Our theoretical analysis of the resulting problem lays the foundation(More)
The phytohormone auxin plays critical roles in the regulation of plant growth and development. Indole-3-acetic acid (IAA) has been recognized as the major auxin for more than 70 y. Although several pathways have been proposed, how auxin is synthesized in plants is still unclear. Previous genetic and enzymatic studies demonstrated that both TRYPTOPHAN(More)
Cyclic adenosine monophosphate (cAMP) has tissue-specific effects on growth, differentiation, and gene expression. We show here that cAMP can activate the transcription factor Elk-1 and induce neuronal differentiation of PC12 cells via its activation of the MAP kinase cascade. These cell type-specific actions of cAMP require the expression of the(More)
The rationale behind mining frequent itemsets is that only itemsets with high frequency are of interest to users. However, the practical usefulness of frequent itemsets is limited by the significance of the discovered itemsets. A frequent itemset only reflects the statistical correlation between items, and it does not reflect the semantic significance of(More)
In this paper, we propose an efficient rule discovery algorithm, called FD_Mine, for mining functional dependencies from data. By exploiting Armstrong’s Axioms for functional dependencies, we identify equivalences among attributes, which can be used to reduce both the size of the dataset and the number of functional dependencies to be checked. We first(More)
A pattern is of utility to a person if its use by that person contributes to reaching a goal. Utility based measures use the utilities of the patterns to reflect the user’s goals. In this paper, we first review utility based measures for itemset mining. Then, we present a unified framework for incorporating several utility based measures into the data(More)
The 140-kb a1-sh2 interval of the maize genome contains at least four genes (a1, yz1, x1, and sh2). Partial sequence analysis of two haplotypes has revealed many single nucleotide polymorphisms and InDel polymorphisms, including several large structural polymorphisms. The physical positions of 101 meiotic recombination breakpoints are not distributed(More)
The aim of this study was to investigate whether transforming growth factor-beta1 (TGF-beta1) could induce alveolar epithelial to mesenchymal transition (EMT) in vitro. Alveolar epithelial cells (AECs) from SD rats were isolated by elastase cell dispersion and IgG panning. Expression of alpha-smooth muscle actin (alpha-SMA) was assayed using Western(More)
The discovery of FDs from databases has recently become a significant research problem. In this paper, we propose a new algorithm, called FD_Mine. FD_Mine takes advantage of the rich theory of FDs to reduce both the size of the dataset and the number of FDs to be checked by using discovered equivalences. We show that the pruning does not lead to loss of(More)
UNLABELLED Enhancer of zeste homolog 2 (EZH2) has been shown to be overexpressed in hepatocellular (HCC). We investigated the potential role of EZH2 in HCC tumorigenesis and examined the usefulness of RNA interference (RNAi) targeting EZH2 as a form of HCC treatment. Lentivirus-mediated RNAi was employed to knock-down EZH2 expression in human hepatoma cells(More)