A Neural-Network-Free Calibration Matches or Beats Deep Single-Cell Perturbation Response Models Across Four Datasets.
- DOI
- 10.3390/genes17070816
- Published
- 2026 Jul 17
- Container
- Genes
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/genes17070816,
title = {A Neural-Network-Free Calibration Matches or Beats Deep Single-Cell Perturbation Response Models Across Four Datasets.},
author = {Sun B and Zheng H and Chen J and Jin J},
year = {2026},
journal = {Genes},
doi = {10.3390/genes17070816},
url = {https://doi.org/10.3390/genes17070816}
}RIS
TY - JOUR TI - A Neural-Network-Free Calibration Matches or Beats Deep Single-Cell Perturbation Response Models Across Four Datasets. AU - Sun B AU - Zheng H AU - Chen J AU - Jin J PY - 2026 JO - Genes DO - 10.3390/genes17070816 UR - https://doi.org/10.3390/genes17070816 ER -
APA
B, S., H, Z., J, C., & J, J. (2026). A Neural-Network-Free Calibration Matches or Beats Deep Single-Cell Perturbation Response Models Across Four Datasets.. Genes. https://doi.org/10.3390/genes17070816
Source records
- pubmed · retrieved 2026-09-26T10:52:43.897Z