Shengquan Chen

Apr 6, 2024 | nature.com | Shengquan Chen

AbstractRecent advancements for simultaneously profiling multi-omics modalities within individual cells have enabled the interrogation of cellular heterogeneity and molecular hierarchy. However, technical limitations lead to highly noisy multi-modal data and substantial costs. Although computational methods have been proposed to translate single-cell data across modalities, broad applications of the methods still remain impeded by formidable challenges.

Oct 9, 2023 | genomebiology.biomedcentral.com | Wenhao Zhang |Rui Jiang |Shengquan Chen |Ying Wang

The scCAS data used in this study were derived from three main sources. The dataset of human mixed cell lines (HMC) was generated from a mixture of ten human cell lines using single-nucleus ATAC-seq [6]. The dataset of mouse forebrain (MF) was generated from the forebrain tissue of an 8-week-old adult mouse by single-nucleus ATAC-seq [19].