AI and computational methods for reconstructing cell-state-specific gene regulatory networks from single-cell transcriptome and chromatin accessibility data in cancer: methods, applications, and perspectives
- DOI
- 10.3389/fgene.2026.1982712
- Published
- 2026-10-20
- Container
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fgene.2026.1982712,
title = {AI and computational methods for reconstructing cell-state-specific gene regulatory networks from single-cell transcriptome and chromatin accessibility data in cancer: methods, applications, and perspectives},
author = {Jinying Wang and Fenjuan Chen},
year = {2026},
journal = {Frontiers in Genetics},
doi = {10.3389/fgene.2026.1982712},
url = {https://doi.org/10.3389/fgene.2026.1982712}
}RIS
TY - JOUR TI - AI and computational methods for reconstructing cell-state-specific gene regulatory networks from single-cell transcriptome and chromatin accessibility data in cancer: methods, applications, and perspectives AU - Jinying Wang AU - Fenjuan Chen PY - 2026 JO - Frontiers in Genetics DO - 10.3389/fgene.2026.1982712 UR - https://doi.org/10.3389/fgene.2026.1982712 ER -
APA
Wang, J., & Chen, F. (2026). AI and computational methods for reconstructing cell-state-specific gene regulatory networks from single-cell transcriptome and chromatin accessibility data in cancer: methods, applications, and perspectives. Frontiers in Genetics. https://doi.org/10.3389/fgene.2026.1982712
Source records
- crossref · retrieved 2026-11-04T11:51:30.817Z