Uncovering critical transitions and molecule mechanisms in disease progressions using Gaussian graphical optimal transport
Understanding disease progression is crucial for detecting critical transitions and finding trigger molecules, facilitating early diagnosis interventions. However, the high dimensionality of data and the lack of aligned samples across disease stages have posed challenges in addressing these tasks. W...
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Hlavní autoři: | , , , , , |
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Médium: | Artigo |
Jazyk: | angličtina |
Vydáno: |
2025
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On-line přístup: | https://doi.org/10.1038/s42003-025-07995-z |
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