scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.
With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in the same cell. However, how to integrate and analyze these single-cell multi-omics data remains a great challenge. Herein, we introduce an interpretable multitask framework (scMoMtF) for compr...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2024-12-01
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| Schriftenreihe: | PLoS Computational Biology |
| Online-Zugang: | https://doi.org/10.1371/journal.pcbi.1012679 |
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