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Noise reduction in genome-wide perturbation screens using linear mixed-effect models
2011
Computer applications in the biosciences : CABIOS
Motivation: High-throughput perturbation screens measure the phenotypes of thousands of biological samples under various conditions. The phenotypes measured in the screens are subject to substantial biological and technical variation. At the same time, in order to enable high throughput, it is often impossible to include a large number of replicates, and to randomize their order throughout the screens. Distinguishing true changes in the phenotype from stochastic variation in such experimental
doi:10.1093/bioinformatics/btr359
pmid:21685046
pmcid:PMC3150043
fatcat:l65wr4mszneuvbyq3uvvsmn2yi