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Fig 1.

Overview of F-MAP algorithm.

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Fig 2.

The phylogenetic tree of species.

The graph is reproduced with the permission of Joshi et al. (2015).

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Table 1.

Number of target genes for 12 transcription factors (TFs).

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Table 2.

Measures of diagnostic accuracy of reconstructed networks for six species.

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Table 2 Expand

Fig 3.

Sub-networks for ana.

The graphs represent the interactions among 100 genes. The F-MAP network was constructed by using the information of species pse. The blue and grey nodes indicate the TFs and their target genes, respectively. The red and green lines indicate the false and true edges, respectively.

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Fig 4.

Common edges.

The charts represent the number of true positive edges for each reconstructed network (black column) and the number of common edges (gray column) with the network which has the highest precision for each species in Table 2. The names of species on the horizontal axes indicate the species which its information is used as external hints for F-MAP approach. Ledoit and Kuismin represent the networks reconstructed by Ledoit and Wolf and Kuismin and Sillanpää approaches, respectively. GLASSO indicates the networks constructed by GLASSO.

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Table 3.

The average of diagnostic accuracy measures of reconstructed networks for simulated data of pse.

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Table 3 Expand