Multiomics integration of single-cell transcriptomics and bulk sequencing data identifies key biomarkers and predictive models for IBD subtype classification.
- DOI
- 10.3389/fmed.2026.1729642
- Published
- 2026-03-19
- Container
- Front Med (Lausanne)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2026.1729642,
title = {Multiomics integration of single-cell transcriptomics and bulk sequencing data identifies key biomarkers and predictive models for IBD subtype classification.},
author = {Song L and Chen Z and Yao D and Ma H and Wang Q and Yao J and Li K and Liu L and Gu Q and Ding R and Jia L and Lu Z and Yang C.},
year = {2026},
journal = {Front Med (Lausanne)},
doi = {10.3389/fmed.2026.1729642},
url = {https://doi.org/10.3389/fmed.2026.1729642}
}RIS
TY - JOUR TI - Multiomics integration of single-cell transcriptomics and bulk sequencing data identifies key biomarkers and predictive models for IBD subtype classification. AU - Song L AU - Chen Z AU - Yao D AU - Ma H AU - Wang Q AU - Yao J AU - Li K AU - Liu L AU - Gu Q AU - Ding R AU - Jia L AU - Lu Z AU - Yang C. PY - 2026 JO - Front Med (Lausanne) DO - 10.3389/fmed.2026.1729642 UR - https://doi.org/10.3389/fmed.2026.1729642 ER -
APA
L, S., Z, C., D, Y., H, M., Q, W., J, Y., K, L., L, L., Q, G., R, D., L, J., Z, L., & C., Y. (2026). Multiomics integration of single-cell transcriptomics and bulk sequencing data identifies key biomarkers and predictive models for IBD subtype classification.. Front Med (Lausanne). https://doi.org/10.3389/fmed.2026.1729642
Source records
- europe-pmc · retrieved 2026-09-26T20:07:34.966Z
- doaj · retrieved 2026-09-26T20:07:34.966Z