From: BicNET: Flexible module discovery in large-scale biological networks using biclustering
ID | Type | \(\sharp\)Nodes \(|I|\times |J|\) | Items | \(\sharp\)Terms p \(<\)1E−15 | Notes | |
---|---|---|---|---|---|---|
DryGIN | G1 | Constant | 18 × 9 | {−4,..,−1} | 27 | Module with coherent strong (−4) and soft (−1) negative interactions |
G2 | Symmetric | 4 × 9 | {−3,..,3} | 13 | Varying levels of strong (mainly positive) interactions ({\(\pm\)3,\(\pm\)2}) | |
G3 | Symmetric | 5 × 6 | {−2,−1,1,2} | 12 | Module with either all positive or negative interactions per “row”-node ({\(\pm\)1,\(\pm\)2}) | |
G4 | Constant | 7 × 5 | {1,2} | 12 | Module with coherent strong (2) and soft (1) positive interactions | |
G5 | Symmetric | 7 × 5 | {−2,−1,1,2} | 11 | Module with either all positive or negative interactions per “row”-node ({\(\pm\)1,\(\pm\)2}) | |
G6 | Order | 14 × 11 | {−3,..,3} | 25 | Preserved precedences and co-occurrences per “row”-node before postprocessing | |
G7 | Order | 42 × 8 | {−2,−1,1,2} | 50 | Noise-tolerant module with mostly preserved orderings per “row”-node | |
STRING | S1 | Order | 155 × 14 | {1,2,3,4} | 169 | Preserved precedences and co-occurrences per “row”-node before postprocessing |
S2 | Constant | 80 × 18 | {1,2,3} | 98 | Module with mostly of non-dense interactions ({1,2}) | |
S3 | Constant | 83 × 10 | {1,2} | 93 | Module with non-dense positive interactions before postprocessing ({1}) | |
S4 | Constant | 50 × 20 | {1,2,3} | 70 | Module with non-dense positive interactions ({1,2}) before postprocessing | |
S5 | Constant | 45 × 31 | {1,2,3} | 76 | Module with mostly dense interactions (scores in {2,3}) | |
S6 | Constant | 55 × 85 | {1,2} | 143 | Module with mostly dense interactions ({2}) |