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Fig. 2 | BMC Bioinformatics

Fig. 2

From: An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular network

Fig. 2

MAN is formed by associations between proteins, miRNAs, lncRNAs, drugs, and diseases. The attributes and behaviors of biomolecules learned by graph embedding are input into random forest classifier for training to predict potential drug-disease associations. a process of computing semantic similarity of diseases by constructing directed acyclic graph; b process of obtaining the Morgan fingerprint and extracting the structural similarity of the drug; c 3-mer analysis of the sequence; d a schematic diagram of LINE; e prediction process of random forest

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BMC Bioinformatics

ISSN: 1471-2105

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