. 2020 Apr 20;18:1012–1019. doi: 10.1016/j.csbj.2020.04.009

Table 1.

Characteristics of currently available computational methods for detecting APA dynamics from scRNA-seq data.

	Strategy	Quantification method	Statistical method	scRNA-seq data type
scAPA	Peak calling-based	$\log_{2} (\frac{C_{1} + 1}{〈 C + 1 〉})$	Chi-squared test	3′ end

Sierra	Peak calling-based	$\log_{2} (\frac{E \times (p_{11} \dots p_{n 1})}{(g_{1} + 1)} + 1)$	Wilcoxon rank-sum test	3′ end

scDAPA	Density distribution-based	$\sum_{n = 1}^{N} \frac{\|p_{n}^{A} - p_{n}^{B}\|}{2}$	Wilcoxon rank-sum test	3′ end, full-length