Ensemble framework to infer large-scale causal gene regulatory networks from transcriptomic data

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It is now established that complex biological phenotypes are not governed by single genes but instead by networks of interacting genes and gene products. As a consequence, deciphering the structure of the gene regulatory network (GRN) is crucial to further our understanding of fundamental processes in human cells. However, the mapping of molecular interactions in the intracellular realm remains the bottleneck in the pipeline to produce biological knowledge from high-throughput biological data.