April 10, 2024, 4:42 a.m. | Shengze Dong, Zhuorui Cui, Ding Liu, Jinzhi Lei

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.06153v1 Announce Type: new
Abstract: Motivation: Single-cell RNA sequencing (scRNA-seq) is a groundbreaking technology extensively utilized in biological research, facilitating the examination of gene expression at the individual cell level within a given tissue sample. While numerous tools have been developed for scRNA-seq data analysis, the challenge persists in capturing the distinct features of such data and replicating virtual datasets that share analogous statistical properties. Results: Our study introduces a generative approach termed scRNA-seq Diffusion Transformer (scRDiT). This method generates …

arxiv cs.lg data diffusion diffusion transformers q-bio.gn rna rna-seq sampling transformers type

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