This Perspective examines single-cell RNA-seq data challenges and the need for normalization methods designed specifically for single-cell data in order to remove technical biases.

Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

Lipid normalization models, using C: N as a proxy for lipid content, predicted lipid-corrected δⁱ³C for paired data sets more closely with parameters specific to the tissue type and species to which ...