PT - JOURNAL ARTICLE AU - Christopher Frederik Blum AU - Nadia Heramvand AU - Armin S. Khonsari AU - Markus Kollmann TI - Inferability of transcriptional networks from large scale gene deletion studies AID - 10.1101/082925 DP - 2016 Jan 01 TA - bioRxiv PG - 082925 4099 - http://biorxiv.org/content/early/2016/10/24/082925.short 4100 - http://biorxiv.org/content/early/2016/10/24/082925.full AB - Generating a comprehensive map of molecular interactions in living cells is difficult and great efforts are undertaken to infer molecular interactions from large scale perturbation experiments. Here, we develop the analytical and numerical tools to quantify the fundamental limits for inferring transcriptional networks from gene knockout screens and introduce a network inference method that is unbiased and scalable to large network sizes. We show that it is possible to infer gene regulatory interactions with high statistical significance, even if prior knowledge about potential regulators is absent.