Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells
- DOI
- 10.1021/acs.jcim.4c00796
- Published
- 2024-08-03
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.4c00796,
title = {Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells},
author = {Shudong Wang and Hengxiao Li and Yahui Liu and Shanchen Pang and Sibo Qiao and Jionglong Su and Shaoqiang Wang and Yulin Zhang},
year = {2024},
journal = {Journal of Chemical Information and Modeling},
doi = {10.1021/acs.jcim.4c00796},
url = {https://doi.org/10.1021/acs.jcim.4c00796}
}RIS
TY - JOUR TI - Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells AU - Shudong Wang AU - Hengxiao Li AU - Yahui Liu AU - Shanchen Pang AU - Sibo Qiao AU - Jionglong Su AU - Shaoqiang Wang AU - Yulin Zhang PY - 2024 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.4c00796 UR - https://doi.org/10.1021/acs.jcim.4c00796 ER -
APA
Wang, S., Li, H., Liu, Y., Pang, S., Qiao, S., Su, J., Wang, S., & Zhang, Y. (2024). Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.4c00796
Source records
- crossref · retrieved 2026-09-27T03:11:43.094Z