A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions

🏆 Top 20📊 OpenAlex

Most Cited Paper

in MicroRNA in disease regulation

18 Months Post-Publication

Class of 2026

“A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions”

AuthorsBo-Wei Zhao et al.

Bo-Wei Zhao, Xiaorui Su, Yue Yang, Dongxu Li, Guodong Li, Pengwei Hu, Xin Luo, Lun Hu

JournalComputational and Structural Biotechnology Journal

Southwest University

Citations45

DOI10.1016/j.csbj.2024.06.032

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Topics

lncRNA-miRNA interactions · heterogeneous information network · neighborhood-level structural representation · HINLMI · Representation learning · biological embeddings · network topology embeddings · XGBoost classifier · biomolecular interaction integration · five biomolecules · nine interactions · Long non-coding RNA · MicroRNA · Computational prediction · network-based prediction

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Pepkio Research Index (PRI). Topics and Trends in Most Cited MicroRNA in disease regulation Papers, Class of 2026. https://pri.pepkio.com/top-papers/microrna-in-disease-regulation/2026. Accessed 2026-07-20.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459