Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data.

Castiglione C, Segers A, Clement L, Risso D

DOI: 10.1093/biostatistics/kxag010
Published: 2026 Jan 20
Container: Biostatistics (Oxford, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/biostatistics/kxag010,
  title = {Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data.},
  author = {Castiglione C and Segers A and Clement L and Risso D},
  year = {2026},
  journal = {Biostatistics (Oxford, England)},
  doi = {10.1093/biostatistics/kxag010},
  url = {https://doi.org/10.1093/biostatistics/kxag010}
}

RIS

TY  - JOUR
TI  - Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data.
AU  - Castiglione C
AU  - Segers A
AU  - Clement L
AU  - Risso D
PY  - 2026
JO  - Biostatistics (Oxford, England)
DO  - 10.1093/biostatistics/kxag010
UR  - https://doi.org/10.1093/biostatistics/kxag010
ER  -

APA

C, C., A, S., L, C., & D, R. (2026). Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data.. Biostatistics (Oxford, England). https://doi.org/10.1093/biostatistics/kxag010

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pubmed · retrieved 2026-09-25T20:06:50.529Z