spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization.
- DOI
- 10.64898/2025.12.12.694021
- Published
- 2026 Oct 24
- Container
- bioRxiv : the preprint server for biology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.64898/2025.12.12.694021,
title = {spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization.},
author = {Fang C and Montgomery KD and Maguire SE and Ramnauth AD and Guo B and Miller R and Kleinman JE and Hyde TM and Martinowich K and Maynard KR and Page SC and Hicks SC},
year = {2026},
journal = {bioRxiv : the preprint server for biology},
doi = {10.64898/2025.12.12.694021},
url = {https://doi.org/10.64898/2025.12.12.694021}
}RIS
TY - JOUR TI - spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization. AU - Fang C AU - Montgomery KD AU - Maguire SE AU - Ramnauth AD AU - Guo B AU - Miller R AU - Kleinman JE AU - Hyde TM AU - Martinowich K AU - Maynard KR AU - Page SC AU - Hicks SC PY - 2026 JO - bioRxiv : the preprint server for biology DO - 10.64898/2025.12.12.694021 UR - https://doi.org/10.64898/2025.12.12.694021 ER -
APA
C, F., KD, M., SE, M., AD, R., B, G., R, M., JE, K., TM, H., K, M., KR, M., SC, P., & SC, H. (2026). spaTransfer: transfer learning for single-cell and spatial transcriptomics data using non-negative matrix factorization.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2025.12.12.694021
Source records
- pubmed · retrieved 2026-11-10T12:01:38.515Z