Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration
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.
Bibliographic Details
Main Authors: |
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 |
Format: | Article
|
Language: | English |
Published: |
Nature Publishing Group
2018-11-01
|
Series: | Nature Communications
|
Online Access: | https://doi.org/10.1038/s41467-018-06916-5
|