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Table 1 Summary of all results obtained from the comparison of described methods: (A) Data Fusion approach, (B) BANJO and (C) ARACNe-AP

From: A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

Tested FP rateConsensus BN size (#of edges)% FPs addedPrecision
A. Data Fusion Performance Results
10%508%0.92
20%5812%0.88
30%5610%0.88
40%6012%0.88
50%6911%0.88
60%7612%0.88
B. BANJO Performance Results
10%6960%0.41
20%6960%0.41
30%6960%0.41
40%6940%0.59
50%6940%0.59
60%6960%0.41
C. ARACNe-AP Performance Results
 100370%0.3