Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation.

Mialland A, Fukunaga S, Katsuki R, Dong Y, Yamaguchi H, Saito Y

DOI: 10.1093/bioinformatics/btag415
Published: 2026 Jul 2
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag415,
  title = {Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation.},
  author = {Mialland A and Fukunaga S and Katsuki R and Dong Y and Yamaguchi H and Saito Y},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag415},
  url = {https://doi.org/10.1093/bioinformatics/btag415}
}

RIS

TY  - JOUR
TI  - Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation.
AU  - Mialland A
AU  - Fukunaga S
AU  - Katsuki R
AU  - Dong Y
AU  - Yamaguchi H
AU  - Saito Y
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag415
UR  - https://doi.org/10.1093/bioinformatics/btag415
ER  -

APA

A, M., S, F., R, K., Y, D., H, Y., & Y, S. (2026). Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag415

Source records

pubmed · retrieved 2026-09-25T00:07:26.059Z
europe-pmc · retrieved 2026-09-25T00:07:26.077Z