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Robustness and applicability of functional genomics tools on scRNA-seq data
[article]
2019
bioRxiv
pre-print
Many tools have been developed to extract functional and mechanistic insight from bulk transcriptome profiling data. With the advent of single-cell RNA sequencing (scRNA-seq), it is in principle possible to do such an analysis for single cells. However, scRNA-seq data has characteristics such as drop-out events, low library sizes and a comparatively large number of samples/cells. It is thus not clear if functional genomics tools established for bulk sequencing can be applied to scRNA-seq in a
doi:10.1101/753319
fatcat:dgzg77k37zcsnjlffzsiwxuv2e