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Analyzing gene perturbation screens with nested effects models in R and bioconductor
Summary: Nested effects models (NEMs) are a class of probabilistic models introduced to analyze the effects of gene perturbation screens visible in high-dimensional phenotypes like microarrays or cell morphology. NEMs reverse engineer upstream/downstream relations of cellular signaling cascades. NEM...
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| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2008
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2732276/ https://ncbi.nlm.nih.gov/pubmed/18718939 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn446 |
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