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September 10, 2025Nature CommunicationsOpen Access

GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells

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GraphVelo extends rna velocities into multimodal data, revealing complex gene regulation and cell dynamics.

GraphVelo enables accurate inference of multimodal velocities in single-cell data, improving cell state transition understanding.
It retains key vector information and applies to various data types, addressing limitations of traditional rna velocities.
The framework demonstrates significant findings in viral-host interactome and spatial genomics data, enhancing insights into gene regulation.
Applying GraphVelo across different modalities highlights its potential for broader applications in cellular dynamics and molecular mechanisms.

Chen et al. (2025) studied this question.

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