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In this study, we have investigated the recently proposed association detector method Maximal Information Coefficient (MIC) instead of Mutual Information (MI) in inferring Gene Regulatory Network (GRN). GRN plays an important role to understand the interactions and dependencies of genes in different conditions from gene expression data. An information theoretic GRN method first computes dependency...
Gene Regulatory Network (GRN) plays an important role to understand the interactions and dependencies of genes in different conditions from gene expression data. An information theoretic GRN method first computes dependency matrix from the given gene expression dataset using an entropy estimator and then infer network using individual inference method. A number of prominent methods use Mutual Information...
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