Choosing the DE score threshold

[dana-mcc]

Hi,
I am clustering snRNAseq data and I was wondering how you chose DE scores for different types of data (

scrattch.hicat/R/de.genes.R

Line 133 in 885b34e

#' # Recommended initial parameters for 10x Nuclei (> 1,000 genes per sample):

). Was there a set of statistic tests to determine these numbers, or were they chosen based on trial and error with the different datasets?
I am also curious about why DE score contribution is based on the p-values for chi squares from a binary express/doesn't express metric rather than a test for continuous data. I do also see that the genes are filtered by LFC before they are allowed to contribute to the DE score.
Thanks!