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. 2018 Jul 9;19(Suppl 7):194. doi: 10.1186/s12859-018-2175-5

Fig. 5.

Fig. 5

Two steps of the MORA algorithm. In the first step (part a), given the average path length (APL), MORA searches the shortest paths between the two adjacent multi-omics ej and ej+1. of length: ψ∈[1, ⌈APL⌉]. The green dotted line indicates paths of length ψ=1 and the magenta dotted lines represents paths of length ψ=1, MORA does not searches a path of length 3 (which would imply ψ=3) because we supposed that the APL = 2. The algorithm then updates the weight vector infl and moves on the next pattern positions where searches for the next adjacent multi-omics (ej+1 and eh=j+2). In the second step (part b) MORA evaluates the shortest paths for ψ=1 and 2. The array of the weights infl is updated, as shown in the step i to i+3, according to the algorithm