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. 2017 Mar 27;12(3):e0174392. doi: 10.1371/journal.pone.0174392

Fig 3. ML2Motif.

Fig 3

Our approach proceeds in two steps: First, feature importances are extracted from a given learning machine resulting in a gPOIM (left). Second, a corresponding convex motifPOIM is constructed by a set of proposal motifs (right). Adjusting the proposal motifs such that the distance between gPOIM and the convex motifPOIM becomes minimal, gives us the desired motifs.