Machine Learning Analysis of Single-Cell Transcriptomics Identifies a B-Cell-Associated Fibroblast Signature Predictive of Renal Fibrosis Severity.
- DOI
- 10.22034/iji.2026.111015.3189
- Published
- 2026 Aug 24
- Container
- Iranian journal of immunology : IJI
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.22034/iji.2026.111015.3189,
title = {Machine Learning Analysis of Single-Cell Transcriptomics Identifies a B-Cell-Associated Fibroblast Signature Predictive of Renal Fibrosis Severity.},
author = {Fazeli SA and Javanmard AR},
year = {2026},
journal = {Iranian journal of immunology : IJI},
doi = {10.22034/iji.2026.111015.3189},
url = {https://doi.org/10.22034/iji.2026.111015.3189}
}RIS
TY - JOUR TI - Machine Learning Analysis of Single-Cell Transcriptomics Identifies a B-Cell-Associated Fibroblast Signature Predictive of Renal Fibrosis Severity. AU - Fazeli SA AU - Javanmard AR PY - 2026 JO - Iranian journal of immunology : IJI DO - 10.22034/iji.2026.111015.3189 UR - https://doi.org/10.22034/iji.2026.111015.3189 ER -
APA
SA, F., & AR, J. (2026). Machine Learning Analysis of Single-Cell Transcriptomics Identifies a B-Cell-Associated Fibroblast Signature Predictive of Renal Fibrosis Severity.. Iranian journal of immunology : IJI. https://doi.org/10.22034/iji.2026.111015.3189
Source records
- pubmed · retrieved 2026-09-25T20:11:44.988Z