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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Spectral consensus strategy for accurate reconstruction of large biological networks

Fig. 4

Edge rank correlations between SCS-learn and SCS-consensus outcomes for human gut microbial ecosystem. 6, 389 edges were predicted from a dataset of 663 observations and 2, 101 CAGs (MetaHIT project [47]). Rank of edges predicted by only one embedded learning method are given in blue (ARACNE, 159 edges), red (3off2, 498 edges) and yellow (hill-climbing, 2, 889 edges). Rank of edges predicted by two individual learning methods are given in green (ARACNE & hill-climbing, 31), orange (3off2 & hill-climbing, 573 edges) and purple (3off2 & ARACNE, 720 edges). Rank of edges predicted by all individual methods are given in black (1, 519 edges)

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