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iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
Duan Z,
Dai Y,
Hwang A,
Lee C,
Xie K,
et al.
(2023)
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.
PLOS Computational Biology 19(9): e1011444.
https://doi.org/10.1371/journal.pcbi.1011444