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

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

Abstract Background Drug-disease associations (DDAs) can provide important information for exploring the potential efficacy of drugs. However, up to now, there are still few DDAs verified by experiments. Previous evidence indicates that the combination of information would be conducive to the discov...

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Chi tiết về thư mục
Những tác giả chính:	Hanjing Jiang, Yabing Huang
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	BMC 2022-01-01
Loạt:	BMC Bioinformatics
Những chủ đề:	Drug-disease association Graph representation learning Multi-biomolecular network
Truy cập trực tuyến:	https://doi.org/10.1186/s12859-021-04553-2

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