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Fig. 1 | BMC Genomics

Fig. 1

From: LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules

Fig. 1

The overall flow diagram of LePrimAlign The proposed LePrimAlign algorithm takes two weighted PPI networks and BLAST scores of inter-network protein pairs as input, implements global network alignment PrimAlign as preprocessing, normalizes the PrimAlign scores, and iteratively performs four main steps for local network alignment: (1) seed node selection, (2) initial cluster formation, (3) cluster expansion, and (4) outputting the cluster pair

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