While rare cell type identification is indispensable in single cell studies, powerful tools with high detection accuracy and computational efficiency are still lacking. Here, the authors propose a light-weight algorithm which can distinguish rare cell types from voluminous single cell expression profiles.
- Botao Fa
- Ting Wei
- Zhangsheng Yu
