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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