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. Author manuscript; available in PMC: 2018 Apr 30.
Published in final edited form as: Nat Genet. 2017 Oct 30;49(12):1779–1784. doi: 10.1038/ng.3984

Figure 2. Schematic of the CERES computational model.

Figure 2

As input, CERES takes sgRNA depletion and CN data for all cell lines screened. During the inference procedure, CERES models the depletion values as a sum of gene-knockout and copy-number effects, multiplied by a guide activity score parameter. CERES then outputs the values of the parameters that produce the highest likelihood of the observed data under the model.