Interpreting single-cell and spatial omics data using deep neural network training dynamics.

Karin J, Mintz R, Raveh B, Nitzan M

DOI: 10.1038/s43588-024-00721-5
Published: 2024 Dec
Container: Nature computational science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s43588-024-00721-5,
  title = {Interpreting single-cell and spatial omics data using deep neural network training dynamics.},
  author = {Karin J and Mintz R and Raveh B and Nitzan M},
  year = {2024},
  journal = {Nature computational science},
  doi = {10.1038/s43588-024-00721-5},
  url = {https://doi.org/10.1038/s43588-024-00721-5}
}

RIS

TY  - JOUR
TI  - Interpreting single-cell and spatial omics data using deep neural network training dynamics.
AU  - Karin J
AU  - Mintz R
AU  - Raveh B
AU  - Nitzan M
PY  - 2024
JO  - Nature computational science
DO  - 10.1038/s43588-024-00721-5
UR  - https://doi.org/10.1038/s43588-024-00721-5
ER  -

APA

J, K., R, M., B, R., & M, N. (2024). Interpreting single-cell and spatial omics data using deep neural network training dynamics.. Nature computational science. https://doi.org/10.1038/s43588-024-00721-5

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pubmed · retrieved 2026-09-26T04:44:21.714Z