Interpretable and integrative analysis of single-cell multiomics with scMKL
Abstract The rapid advancement of single-cell technologies has led to the development of various analysis methods, each with trade-offs between predictive power and interpretability particularly for multimodal data integration. Complex machine learning models achieve high accuracy, but they often la...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08533-7 |
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