id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-102321-csdezu6y	Booeshaghi, A. Sina	Normalization of single-cell RNA-seq counts by log(x+1)* or log(1+x)*	2020-10-14		.txt	text/plain	1272	84	63	log(1+x) count normalization introduces errors for lowly expressed genes The average log(1+x) expression differs considerably from log(x) when x is small An alternative approach is to use the fraction of cells with non-zero expression As is common in single-cell RNA-seq, the expression estimates of ACE2 are derived from counts that are filtered and normalized. While single-cell RNA-seq expression data has been modeled with many different distributions [4, 5] , for simplicity in illustrating our points we model this count data with a simple Poisson random variable X with parameter λ in order to demonstrate the implications of this restriction. Since f is approximately equal to this expression when f is small, this provides an interpretation of the fraction of cells with at least one copy of a low-abundance gene as an estimate of the rate parameter λ in a Poisson distribution.	./cache/cord-102321-csdezu6y.txt	./txt/cord-102321-csdezu6y.txt