DeNovoSeer:a deep learning framework for pathogenicity prediction of De novo mutations

Rong Qiu, Xiyu Rao, Hong Jiang, Jinchen Li, Guihu Zhao

Open source

DOI
10.1093/bib/bbag428
Published
2026-07
Container
Briefings in Bioinformatics
Publisher
Oxford University Press (OUP)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag428,
  title = {DeNovoSeer:a deep learning framework for pathogenicity prediction of De novo mutations},
  author = {Rong Qiu and Xiyu Rao and Hong Jiang and Jinchen Li and Guihu Zhao},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbag428},
  url = {https://doi.org/10.1093/bib/bbag428}
}

RIS

TY  - JOUR
TI  - DeNovoSeer:a deep learning framework for pathogenicity prediction of De novo mutations
AU  - Rong Qiu
AU  - Xiyu Rao
AU  - Hong Jiang
AU  - Jinchen Li
AU  - Guihu Zhao
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbag428
UR  - https://doi.org/10.1093/bib/bbag428
ER  - 

APA

Qiu, R., Rao, X., Jiang, H., Li, J., & Zhao, G. (2026). DeNovoSeer:a deep learning framework for pathogenicity prediction of De novo mutations. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag428

Source records