Table 3 MajS and Iggy predictions upon perturbations of HIF1A for 3 Benchmarks
From: Predicting weighted unobserved nodes in a regulatory network using answer set programming
HIF1A\(=\)– | HIF1A\(=\)0 | HIF1A\(= +\) | ||||
|---|---|---|---|---|---|---|
Name | MajS | Iggy | MajS | Iggy | MajS | Iggy |
ALDOA | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
ENO1 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
ENO2 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
ENO3 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
GAPDH | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
HK1 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
HK2 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
HK3 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
LDHA | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
PFKL | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
PGK1 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
SLC2A1 | (0,100) | Na | (\(+\),25) | \(+\) | (\(+\),50) | \(+\) |
PDHA1 | (0,100) | Na | \((-,100)\) | − | \((-,100)\) | − |
PDHA2 | (0,100) | Na | \((-,100)\) | − | \((-,100)\) | − |
PDHB | (0,100) | Na | \((-,100)\) | − | \((-,100)\) | − |