Nature Communications (Jan 2018)

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

  • C. F. Blum,
  • N. Heramvand,
  • A. S. Khonsari,
  • M. Kollmann

DOI
https://doi.org/10.1038/s41467-017-02489-x
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 10

Abstract

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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.