Robust and comprehensive meta-path modeling with multi-graph learning for miRNA-disease association prediction.

Li Z, Yang L, Qin W, Liang J, Zhao Q

DOI: 10.1093/bib/bbag580
Published: 2026 Sep 1
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag580,
  title = {Robust and comprehensive meta-path modeling with multi-graph learning for miRNA-disease association prediction.},
  author = {Li Z and Yang L and Qin W and Liang J and Zhao Q},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag580},
  url = {https://doi.org/10.1093/bib/bbag580}
}

RIS

TY  - JOUR
TI  - Robust and comprehensive meta-path modeling with multi-graph learning for miRNA-disease association prediction.
AU  - Li Z
AU  - Yang L
AU  - Qin W
AU  - Liang J
AU  - Zhao Q
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag580
UR  - https://doi.org/10.1093/bib/bbag580
ER  -

APA

Z, L., L, Y., W, Q., J, L., & Q, Z. (2026). Robust and comprehensive meta-path modeling with multi-graph learning for miRNA-disease association prediction.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag580

Source records

pubmed · retrieved 2026-11-10T07:04:12.794Z