Article

Time-Varying Biological Time Series Prediction and Pattern Interpretation via Koopman Theory and Large Language Model

2026-03-24

Abstract excerpt

Biological time series data characterizes the dynamic evolution of biological systems and plays a crucial role in genetic inheritance, disease diagnosis, and biological microenvironment. However, accurate prediction for biological time-series data remains challenging due to their pronounced time-varying, non-stationary, and noisy characteristics. Existing approaches often fail to capture latent distribution shifts...

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Literature Corpus work: c7416344-9c9a-5e8f-a345-18a0d6f7caf3
DOI: 10.20944/preprints202603.1888.v1

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