iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

Duan, Ziheng; Dai, Yi; Hwang, Ahyeon; Lee, Cheyu; Xie, Kaichi; Xiao, Chutong; Xu, Min; Girgenti, Matthew J.; Zhang, Jing

doi:10.1371/journal.pcbi.1011444

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

https://doi.org/10.1371/journal.pcbi.1011444
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posted on 2025-08-28, 17:01 authored by Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang

<p dir="ltr">This journal contribution is published Open Access by the publisher. Follow the DOI link to retrieve a copy of the full text. </p><p dir="ltr">We thank the OIT of the UCI ICS department for supporting computing resources.</p>

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

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