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LapDDPM: Spectral Perturbation Diffusion for Robust Single-Cell Manifold Generation
Generating high-fidelity and biologically plausible synthetic single-cell RNA sequencing (scRNA-seq) data is a critical challenge in computational biology, driven by the need to model high-dimensional, sparse, and non-linear cellular manifolds. Existing generative models often fail to capture the co
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