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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A probabilistic method for leveraging functional annotations to enhance estimation of the temporal order of pathway mutations during carcinogenesis

Fig. 4

Estimated order of pathway alterations based on TCGA rectal cancer dataset. Estimated temporal order probabilities from PATOPA are summarized using a partial order plot [24]. Each node corresponds to a pathway we analyzed. The nodes/pathways are ordered based on the temporal order probabilities estimated from PATOPA. The thickness of a directed edge is proportional to the probability that the head node is mutated after the tail node. Pathways with similar temporal order probabilities are clustered together, where the clustering results are indicated by different colors of node borders. For better visualization, edges with probability less than 0.4 are removed from this figure

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