From: Construction of gene regulatory networks using biclustering and bayesian networks
Algorithm | Parameters | Parameter Description |
---|---|---|
ISA | tg = 2.0 | Genes threshold level |
 | tc = 2.0 | Condition threshold level |
 | SN = 500 | No of seeds |
CC | Delta = 0.5 | Maximum of accepted score |
 | Alpha = 1.2 | Scaling factor |
 | M = 100 | Number of biclusters to be found |
OPSM | l = 100 | Number of passed models for each iteration |
K-means | M = 100 | Number of Biclusters to be found |
 | IN = 100 | Number of Iterations |
 | RN = 10 | Number of replications |
 | DM = ED | Distance Metric is Euclidean Distance |
Bivisu | NT = 0.82 | Data Noise threshold |
 | % NR = 0.33 | Minimum % of rows |
 | NC = 5 | Minimum number of columns |
 | O% = 25% | Maximum overlap allowed |