An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features.
- DOI
- 10.1038/s43856-026-01454-4
- Published
- 2026 Mar 10
- Container
- Communications medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s43856-026-01454-4,
title = {An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features.},
author = {Su Y and Deng K and Chen X and Feng Z and Wang D and Daniels C and Koh HY and Gonzalez RD and Suzuki H and Miyauchi T and Liu F and Wang W and Li J and Li S and Chen R and Qiu X and Li C and Jiang T and Taylor MD and Zhang J and Liu H and Tian Y},
year = {2026},
journal = {Communications medicine},
doi = {10.1038/s43856-026-01454-4},
url = {https://doi.org/10.1038/s43856-026-01454-4}
}RIS
TY - JOUR TI - An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features. AU - Su Y AU - Deng K AU - Chen X AU - Feng Z AU - Wang D AU - Daniels C AU - Koh HY AU - Gonzalez RD AU - Suzuki H AU - Miyauchi T AU - Liu F AU - Wang W AU - Li J AU - Li S AU - Chen R AU - Qiu X AU - Li C AU - Jiang T AU - Taylor MD AU - Zhang J AU - Liu H AU - Tian Y PY - 2026 JO - Communications medicine DO - 10.1038/s43856-026-01454-4 UR - https://doi.org/10.1038/s43856-026-01454-4 ER -
APA
Y, S., K, D., X, C., Z, F., D, W., C, D., HY, K., RD, G., H, S., T, M., F, L., W, W., J, L., S, L., R, C., X, Q., C, L., T, J., MD, T., J, Z., H, L., & Y, T. (2026). An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features.. Communications medicine. https://doi.org/10.1038/s43856-026-01454-4
Source records
- pubmed · retrieved 2026-09-26T03:52:55.636Z