Inference of Dynamic Gene Regulatory Relations with Multiple Regulators

Gene expression in complex regulatory interactions is often governed by more than one gene, so a gene involved in such interactions may have multiple regulators. We developed a method for identifying dynamic gene regulations of several types from the time-series gene expression data. The method can find gene regulations with multiple regulators that work in combination or individually as well as those with single regulators. The method has been implemented and tested on several gene expression datasets. The algorithms and program developed in our study will be useful for identifying multiple regulators, especially those that jointly regulate the expression level of a target gene.