Abstract:Gene regulatory network (GRN) inference is an active area of research that facilitates understanding the complex interplays between biological molecules. We propose a novel framework to create such gene regulatory networks, based on Conditional Inference Forests (CIFs) as proposed by Strobl et.al. Our framework consists of using ensembles of Conditional Inference Trees (CITs) and selecting an appropriate aggregation scheme for variant selection, prior to network construction. We show on synthetic microarray da… Show more
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