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.

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Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Science
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Acceso en línea:https://doaj.org/article/d0eb361d0bb14b90ba18bfe3b6bb1fd5
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https://doaj.org/article/d0eb361d0bb14b90ba18bfe3b6bb1fd5

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