Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.

Fan Y, Launonen I, Sillanpää MJ, Waldmann P

DOI: 10.1093/bib/bbag246
Published: 2026 May 4
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag246,
  title = {Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.},
  author = {Fan Y and Launonen I and Sillanpää MJ and Waldmann P},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag246},
  url = {https://doi.org/10.1093/bib/bbag246}
}

RIS

TY  - JOUR
TI  - Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.
AU  - Fan Y
AU  - Launonen I
AU  - Sillanpää MJ
AU  - Waldmann P
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag246
UR  - https://doi.org/10.1093/bib/bbag246
ER  -

APA

Y, F., I, L., MJ, S., & P, W. (2026). Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag246

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pubmed · retrieved 2026-09-25T07:58:31.419Z