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Pseudodynamics+: Reconstructing Population Dynamics from Time-Resolved Single Cell Landscapes with Physics Informed Neural Networks

2025-12-02

Abstract excerpt

Single-cell profiling provides snapshots of the heterogeneous states that characterise developmental processes, organ regeneration and progression towards disease in a complex landscape. The underlying trajectories are of pivotal interest, but existing methods for reconstructing cell state trajectories commonly neglect population sizes. However, snapshot experiments make it difficult to interpret cell flux because...

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Identifiers and source

Literature Corpus work
7116e70e-f81c-5bdd-a181-8bacbf80e52e
DOI
10.64898/2025.11.30.691399
Open publication

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