Alternative splicing (AS) is a source of transcriptomic heterogeneity, but analysing splicing changes at single-cell level is challenging due to dropout, noise, and limited coverage in scRNA-seq. Here, the authors propose SCSES, a tool to identify AS events and estimate splicing intensity at single-cell resolution. SCSES reveals high splicing heterogeneity beyond conventional expression-based clustering.
- Xiao Wen
- Xuan Lv
- Zhaoqi Liu