scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.

Zhou X, Wu H

DOI: 10.1093/bib/bbaf009
Published: 2024 Nov 22
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbaf009,
  title = {scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.},
  author = {Zhou X and Wu H},
  year = {2024},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbaf009},
  url = {https://doi.org/10.1093/bib/bbaf009}
}

RIS

TY  - JOUR
TI  - scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.
AU  - Zhou X
AU  - Wu H
PY  - 2024
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbaf009
UR  - https://doi.org/10.1093/bib/bbaf009
ER  -

APA

X, Z., & H, W. (2024). scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbaf009

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pubmed · retrieved 2026-09-25T00:51:09.916Z