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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Auteurs principaux: | , , , , , , , , , , , , , |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
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Accès en ligne: | https://doaj.org/article/d0eb361d0bb14b90ba18bfe3b6bb1fd5 |
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