Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneity.
- DOI
- 10.64898/2026.06.29.735224
- Published
- 2026 Jul 2
- Container
- bioRxiv : the preprint server for biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.64898/2026.06.29.735224,
title = {Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneity.},
author = {Chumpitaz-Diaz L and Shrestha P and Engelhardt BE},
year = {2026},
journal = {bioRxiv : the preprint server for biology},
doi = {10.64898/2026.06.29.735224},
url = {https://doi.org/10.64898/2026.06.29.735224}
}RIS
TY - JOUR TI - Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneity. AU - Chumpitaz-Diaz L AU - Shrestha P AU - Engelhardt BE PY - 2026 JO - bioRxiv : the preprint server for biology DO - 10.64898/2026.06.29.735224 UR - https://doi.org/10.64898/2026.06.29.735224 ER -
APA
L, C., P, S., & BE, E. (2026). Scalable multi-group nonnegative spatial factorization for spatial genomics data with cell-type heterogeneity.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.06.29.735224
Source records
- pubmed · retrieved 2026-09-25T06:08:36.079Z