Fig. 5
From: ELIMINATOR: essentiality analysis using multisystem networks and integer programming
Method validation. A Histogram showing the results from the validation of the method. The dark distribution shows the Achilles scores of those pair gene & cell-lines predicted as essential; the light distribution shows the Achilles scores of those predicted as not essential. Genes predicted as essential have significantly lower Achilles score than genes predicted as not essential (p-value = 6.4032 × 10–246). The average difference between both distributions is defined by the parameter delta.score = − 0.1463. B Impact of ECS in the performance of the method. Evolution of the results when different thresholds of ECS are used to define a gene as essential. delta.score: average difference in Achilles score between the genes predicted as essential and the genes predicted as not essential; MCC: Matthew’s Correlation Coefficient; N: number of genes included in the comparison; Precision: obtained precision assuming as real essential genes those with an Achilles score < − 0.5. C Histogram when MCC finds its maximum (ECS = 0.6667). The average difference in Achilles Score between genes predicted as essential and genes predicted as not essential becomes bigger (delta.score = − 0.5954) and so does their significance (p-value = 0)