Mining quantitative association rules from brain development microarray data
Dong Yi · Zhongguo xiandai yixue/Zhongguo xiandai yixue zazhi · 2008
[Objective] To discover important genes related to brain development and to infer their relationships. [Methods] The quantitative association rule based on half-space proposed by Rkert was used to analyze the brain development microarray data. [Results] Totally 18 best quantitative association rules involving 14 genes were found, among which 11 genes were related to development, 9 genes to nervous system development, 4 genes to central nervous system or brain development. In addition, an interaction graph between genes was inferred from the 18 quantitative association rules. [Conclusion] Quantitative association rule may help to find out valuable information from microarray data. Also it helps to formulate hypotheses about the function of genes for further research.