348 followers
@ekernf01 This was the paper that I felt the mostly deeply on it https://t.co/FgX5jgYhbv
@ekernf01 This was the paper that I felt the mostly deeply on it https://t.co/FgX5jgYhbv
@ivivek87 @vallens Sorry, for jumping in late. We agree, scRNAseq tech affects the dist of data (idea: UMI=NB, reads=ZINB https://t.co/Mgn16pkzZJ). Hence, DCA provides a selection of noise models & way (although not perfect) of deciding bw NB/ZINB. We
RT @scell_papers: UMI-count modeling and differential expression analysis for single-cell RNA sequencing. https://t.co/A7EY1tsi8o