scDiffusion: conditional generation of high-quality single-cell data using diffusion model

arXiv:2401.03968v2 Announce Type: replace-cross
Abstract: Single-cell RNA sequencing (scRNA-seq) data are important for studying the laws of life at single-cell level. However, it is still challenging to obtain enough high-quality scRNA-seq data. To mitigate the limited availability of data, generative models have been proposed to computationally generate synthetic scRNA-seq data. Nevertheless, the data generated with current models are not very realistic yet, especially when we need to generate data with controlled conditions. In the meantime, the Diffusion models have shown …

abstract arxiv availability cs.lg data diffusion diffusion model generate generative generative models laws life q-bio.gn q-bio.qm quality rna sequencing studying synthetic type