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

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

Internet

https://doi.org/10.1038/s41467-018-06916-5

Similar Items