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Fig. 5 | BMC Systems Biology

Fig. 5

From: Inferring microbial interaction network from microbiome data using RMN algorithm

Fig. 5

Evaluation measurements on efficiency analysis of RMN algorithm for simulated data under different level of noise interference. The threshold was set at 0L d( O m , O c , O t ) 0.8 and D(O m , O c , O t ) < 0.8. a: The average results of four evaluation measures for the efficiency of RMN algorithm. Error bars represent the standard deviation. b: The best result of four evaluation measures for the efficiency of RMN algorithm. The estimated data used 5000 simulated microbial regulatory networks. Each simulated data contains 10 OTUs, whose abundance values were simulated for 13 time points. Non-noise: simulated data without noise; Low-noise: simulated data with low noise; Medium-noise: simulated data with medium noise; High-noise: simulated data with high noise

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