scGlycoAI: machine learning analysis of single-cell glycan and RNA sequencing data for cell-type annotation and malignancy-associated glycan discovery.

Anh DXT, Tateno H

DOI: 10.1093/glycob/cwag100
Published: 2026 Sep 29
Container: Glycobiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/glycob/cwag100,
  title = {scGlycoAI: machine learning analysis of single-cell glycan and RNA sequencing data for cell-type annotation and malignancy-associated glycan discovery.},
  author = {Anh DXT and Tateno H},
  year = {2026},
  journal = {Glycobiology},
  doi = {10.1093/glycob/cwag100},
  url = {https://doi.org/10.1093/glycob/cwag100}
}

RIS

TY  - JOUR
TI  - scGlycoAI: machine learning analysis of single-cell glycan and RNA sequencing data for cell-type annotation and malignancy-associated glycan discovery.
AU  - Anh DXT
AU  - Tateno H
PY  - 2026
JO  - Glycobiology
DO  - 10.1093/glycob/cwag100
UR  - https://doi.org/10.1093/glycob/cwag100
ER  -

APA

DXT, A., & H, T. (2026). scGlycoAI: machine learning analysis of single-cell glycan and RNA sequencing data for cell-type annotation and malignancy-associated glycan discovery.. Glycobiology. https://doi.org/10.1093/glycob/cwag100

Source records

pubmed · retrieved 2026-11-10T20:14:09.745Z