SCnorm

SCnormalizes single-cell RNA-seq data to remove technical variation while preserving biological heterogeneity.

Key Features:

• Single-cell RNA-seq normalization: Implements a dedicated normalization method specifically for single-cell RNA-seq data.

Scientific Applications:

• Single-cell transcriptomics analysis: Enables downstream analysis of single-cell RNA-seq data by correcting for technical artifacts.

Methodology:

SCnorm is implemented as a Bioconductor package for R.