Nature Communications (Nov 2018)

Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration

  • James M. McFarland,
  • Zandra V. Ho,
  • Guillaume Kugener,
  • Joshua M. Dempster,
  • Phillip G. Montgomery,
  • Jordan G. Bryan,
  • John M. Krill-Burger,
  • Thomas M. Green,
  • Francisca Vazquez,
  • Jesse S. Boehm,
  • Todd R. Golub,
  • William C. Hahn,
  • David E. Root,
  • Aviad Tsherniak

DOI
https://doi.org/10.1038/s41467-018-06916-5
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 13

Abstract

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Integrated analyses of multiple large-scale screenings can be complicated by batch effects and technical artefacts. McFarland et al. introduce DEMETER2, a hierarchical model coupled with model-based normalization, which allows the assessment of differential dependencies across genes and cell lines.