Article

CLOP-DiT: Structured-Metadata-Conditioned Single-Cell Latent Generation via Contrastive Language-Omics Pretraining and Diffusion Transformers

2026-03-30

Abstract excerpt

Generating realistic single-cell transcriptomic profiles from structured biological descriptions would enable controlled simulation, data augmentation, and hypothesis-driven cell-state creation—yet no existing method combines text–cell alignment with conditional generation. We present CLOP-DiT, a modular three-stage pipeline: (1) a contrastive aligner (CLOP) maps BiomedBERT text embeddings and scGPT cell embedding...

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Literature Corpus work: 1efb2109-6cef-5591-bb92-86bae43457f8
DOI: 10.64898/2026.03.26.714457

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