Table 1. Overview of software tools to infer pairwise interactions from datasets in continuous or categorical variables with maximum-entropy/GGM-based methods.
Data type | Method | Name | Output | Link |
---|---|---|---|---|
categorical | mean-field | DCA, mfDCA | DI-score | [76,77] |
pseudolikelihood maximization | plmDCA | APC-FN-score | [78–80] | |
pseudolikelihood maximization | Gremlin | Gremlin-score | [81] | |
sparse maximum-likelihood | Psicov | Psicov-score | [82] | |
continuous | sparse maximum-likelihood | glasso | partial correlations | [83] |
ℓ 2-regularized maximum-likelihood | scout | partial correlations | [84] | |
shrinkage | corpcor, GeneNet | partial correlations | [85,86] |