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Fig. 2 | BMC Systems Biology

Fig. 2

From: HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network

Fig. 2

Implementation of HGPEC. Implementation of HGPEC consists of following steps: i) Constructing a heterogeneous network of genes and diseases (Part A); ii) Giving a disease of interest (d 1) and identifying training (source) genes and diseases (Part B); iii) Providing candidate genes and diseases (Part C); iv) Prioritizing all genes and diseases in the network (Part D); and v) Displaying all ranked genes and diseases (Part E) and selecting highly ranked candidate genes and diseases for further investigation (Part F). Novel promising disease-gene and disease-disease associations can be supported with network- and rank-based visualization (Part G) as well as evidences and annotations from biomedical data (Part H)

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BMC Systems Biology

ISSN: 1752-0509

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