Preprint
Aug 2026
Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data
A comparative analysis of generative models for transcriptomic data is presented, investigating strategies to incorporate prior biological knowledge via gene graphs, and shows that prior knowledge integration strategies improve performance, and that MK-TGAN consistently produces synthetic samples with superior realism...
Francesca Pia Panaccione, S. Mongardi, M. Masseroli et al.
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