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Fig. 10 | Algorithms for Molecular Biology

Fig. 10

From: The feasibility of genome-scale biological network inference using Graphics Processing Units

Fig. 10

Performance statistics for the reverse-engineering algorithm. False positive rate and fraction (a) of true edges recovered (b, in %) for set of 1000 genes analyzed using a sensitivity analysis are presented. Results using two cutoff values, 0.01 and 0.05, using a \(p_\text {value}\) relative to a chance that a connection appears using a random binomial distribution. Union represents a union of sets of results obtained from both experiments, CV represents the cutoff metric based upon co-efficient variation mentioned in the text, and Int represents intersection of results obtained from both experiments

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