MVCLST: A spatial transcriptome data analysis pipeline for cell type classification based on multi-view comparative learning.
- DOI
- 10.1016/j.ymeth.2024.11.001
- Published
- 2024 Dec
- Container
- Methods (San Diego, Calif.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ymeth.2024.11.001,
title = {MVCLST: A spatial transcriptome data analysis pipeline for cell type classification based on multi-view comparative learning.},
author = {Peng W and Zhang Z and Dai W and Ping Z and Fu X and Liu L and Liu L and Yu N},
year = {2024},
journal = {Methods (San Diego, Calif.)},
doi = {10.1016/j.ymeth.2024.11.001},
url = {https://doi.org/10.1016/j.ymeth.2024.11.001}
}RIS
TY - JOUR TI - MVCLST: A spatial transcriptome data analysis pipeline for cell type classification based on multi-view comparative learning. AU - Peng W AU - Zhang Z AU - Dai W AU - Ping Z AU - Fu X AU - Liu L AU - Liu L AU - Yu N PY - 2024 JO - Methods (San Diego, Calif.) DO - 10.1016/j.ymeth.2024.11.001 UR - https://doi.org/10.1016/j.ymeth.2024.11.001 ER -
APA
W, P., Z, Z., W, D., Z, P., X, F., L, L., L, L., & N, Y. (2024). MVCLST: A spatial transcriptome data analysis pipeline for cell type classification based on multi-view comparative learning.. Methods (San Diego, Calif.). https://doi.org/10.1016/j.ymeth.2024.11.001
Source records
- pubmed · retrieved 2026-09-26T04:42:33.433Z