Article

Hō‘ike: A Joint-Embedding Predictive Architecture for Transcriptome Data Generation with Diffusion Models

2026-08-05

Abstract excerpt

In biomarker discovery, access to sufficient quantities of condition-specific transcriptomic data is often limited by cohort size, privacy concerns, and domain shift between normal and condition populations. Generative modeling can augment scarce cohorts and probe distributional transitions. Furthermore, synthetic transcriptome generation can support differential expression analyses, machine learning, privacy-pres...

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Literature Corpus work: 6dbfc26b-fe7d-5827-921a-c5ff917cfa07
DOI: 10.64898/2026.08.03.741845

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