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Table 2 Comparison of FINET and C3NET

From: FINET: Fast Inferring NETwork

Metrics FINET ARACNe-AP C3NET
Precision (%) 94.2 0.81 72.3
Parameter sensitivity Very Moderate Not
Implementation Julia Java R
Big data Fast  Moderate Not practical
Sample size Unlimited 65 k Not practical
Gene size Unlimited Limited Not practical
Complete net1 (s)a 108.6920796 145.4659786 82.7275046
Memory Share  Thread share Not
  1. For comparable speed test of all software, FINET parameters were set to simple settings, m = 1 with 5 cross-validations, and ARACNe was set to 5 bootstraps
  2. aCompleted in a computer node with 40 CPUs. All genes were used to infer their interactions