engGNN: a dual-graph neural network for omics-based disease classification and feature selection.

Yang T, Wang Y, Zhou Z, Liu CT

DOI: 10.1093/bib/bbag481
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/bbag481,
  title = {engGNN: a dual-graph neural network for omics-based disease classification and feature selection.},
  author = {Yang T and Wang Y and Zhou Z and Liu CT},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag481},
  url = {https://doi.org/10.1093/bib/bbag481}
}

RIS

TY  - JOUR
TI  - engGNN: a dual-graph neural network for omics-based disease classification and feature selection.
AU  - Yang T
AU  - Wang Y
AU  - Zhou Z
AU  - Liu CT
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag481
UR  - https://doi.org/10.1093/bib/bbag481
ER  -

APA

T, Y., Y, W., Z, Z., & CT, L. (2026). engGNN: a dual-graph neural network for omics-based disease classification and feature selection.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag481

Source records

pubmed · retrieved 2026-09-26T03:39:16.152Z