演講公告

東海大學統計學系學術演講20170321

公告時間:2017-03-10 09:31:02
公告單位:統計學系

東海大學統計學系學術演講

間:10603 21日(星期二下午14:10~15:00

點:管理學院新大樓M367

主講人:劉力瑜   副教授   (台灣大學農藝學系暨研究所)

題:Variable selection via the intrinsic dependence

Abstract

   The coefficient of intrinsic dependence (CID) is capable of determining associations among variables without making distributional or functional assumptions regarding random variables. It had been applied to construction of gene regulatory network incorporating the Galton-Pearson correlation coefficient and to identify associations among multivariate variables. In recent study, we developed the partial coefficient of intrinsic dependence (pCID) to facilitate the step-by-step selection of variables that are relevant to a target variable. The strategy using the CID along with the pCID can eliminate interference from other relevant variables. From simulation results, we observed that the proposed method is more sensitive to curvilinearity and more specific to linearity than the combination of Pearsons correlation coefficient and the partial correlation coefficient (PCC/ pPCC). This property may provide the opportunity to index different levels of curvilinearity according to CID/pCID outcomes. In practice trials conducted using publicly available microarray data, the CID/pCID procedure successfully identified cold-responsive genes related to three C-repeat binding factors, and was especially effective at identifying some sample-specific gene-gene interactions. Therefore, the proposed strategy may be beneficial in meta-analysis to distinguish general forms of relationships from the noise. .

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