| GOVL |
The obtained biclusters are allowed to have overlaps over only the gene-sets. |
| SOVL |
The obtained biclusters are allowed to have overlaps over only the sample-sets. |
| GSOVL |
The obtained biclusters are allowed to have overlaps over both gene and sample-sets. |
| NOVL |
No overlaps at all are allowed for the obtained biclusters. |
| DISC |
Discretization is mandatory for running the algorithm |
| TMV |
The method is tolerant to missing values. |
| SIMA |
Simulated annealing is applied to avoid convergence to local optima. |
| VECOS |
Vector Cosine Scores is applied to measure the similarities of the samples (or genes). |
| SVD |
The method applies a form of Singular Value Decomposition. |
| MCMC |
The method employs a Markovian Chain Monte Carlo approach. |
| BAYES |
The method employs a fully Bayesian approach. |
| EM |
The method uses the Expectation-Maximization method. |
| MOTIF |
The MOTIF sequence co-occurrence is considered in the biclustering approach. |
| TREE |
The method applies a tree structure for discovering suitable sets of genes and samples. |
