SCnorm
A quantile regression method for
accurate and efficientnormalization of scRNA-seqdata. SCnorm uses quantileregression to estimate thedependence of read counts onsequencing depth for everygene. Genes with similardependence are then grouped,and a second quantileregression is used to estimatescale factors within each group
SCnorm does not require spike-
ins, and performance may beimproved if good spike-ins areavailable
Package
Command
line
Unix/
Linux,Mac OS,Windows
R[
85
]
NODES
A normalization technique that
substantially reduces technicalvariability and improves thequality of downstreamanalyses. NODES provides atransformative reduction incomputational complexity andexecution time, which will becrucial for analyzing themassive single-cell data setsgenerated by inDrop/Drop-seq and other high-throughput single-celltechnologies
NA
Package
Command
line
Unix/
Linux,Mac OS,Windows
R[
86
]
SCONE
An R package for single-cell
RNA-seq data quality controland normalization. This data-driven framework usessummaries of expression datato assess the efficacy ofnormalization workflows
R (R version 3.3)
Package
Command
line
Unix/
Linux,Mac OS,Windows
R[
87
]
(continued)
Applications of Single-Cell Sequencing for Multiomics 339