MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.

Zhu M, Li C, Lv K, Guo H, Hou R, Tian G, Yang J

Open source

DOI
10.1016/j.compbiomed.2023.106873
Published
2023 Jun
Container
Computers in biology and medicine
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.compbiomed.2023.106873,
  title = {MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.},
  author = {Zhu M and Li C and Lv K and Guo H and Hou R and Tian G and Yang J},
  year = {2023},
  journal = {Computers in biology and medicine},
  doi = {10.1016/j.compbiomed.2023.106873},
  url = {https://doi.org/10.1016/j.compbiomed.2023.106873}
}

RIS

TY  - JOUR
TI  - MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.
AU  - Zhu M
AU  - Li C
AU  - Lv K
AU  - Guo H
AU  - Hou R
AU  - Tian G
AU  - Yang J
PY  - 2023
JO  - Computers in biology and medicine
DO  - 10.1016/j.compbiomed.2023.106873
UR  - https://doi.org/10.1016/j.compbiomed.2023.106873
ER  -

APA

M, Z., C, L., K, L., H, G., R, H., G, T., & J, Y. (2023). MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2023.106873

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