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

现在已经确定，复杂的生物表型不是由单个基因决定的，而是由相互作用的基因和基因产物组成的网络决定的。因此，破译基因调控网络(GRN)的结构对于进一步了解人类细胞的基本过程至关重要。然而，细胞内领域中分子相互作用的映射仍然是从高通量生物学数据中产生生物学知识的管道中的瓶颈。

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.