Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies

Reliable inference of gene interactions from perturbation experiments remains a challenge. Here, the authors quantify the upper limits of transcriptional network inference from knockout screens, identify the key determinants of accuracy, and introduce an unbiased and scalable inference algorithm.

Bibliographic Details
Main Authors: C. F. Blum, N. Heramvand, A. S. Khonsari, M. Kollmann
Format: Article
Language:English
Published: Nature Publishing Group 2018-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-02489-x