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Learning a Markov Logic network for supervised gene regulatory network inference

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Academic year: 2021

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Figure

Figure 1 Schema of a Markov network built from a MLN with C = { A , B }. The Markov network has been obtained from the clause (1) by considering a set of two constants A and B
Figure 2 Schema of the two steps of the MLN learning algorithm.
Table 1 Summary of the three experimental studies Study Positive set Negative set Protocol
Table 2 Averaged AUCs for cross-validation measurements on balanced samples using MLNs
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