NormExpression: An R Package to Normalize Gene Expression Data Using Evaluated Methods.

ABSTRACT: Data normalization is a crucial step in the gene expression analysis as it ensures the validity of its downstream analyses. Although many metrics have been designed to evaluate the existing normalization methods, different metrics or different datasets by the same metric yield inconsistent results, particularly for the single-cell RNA sequencing (scRNA-seq) data. The worst situations could be that one method evaluated as the best by one metric is evaluated as the poorest by another metric, or one method evaluated as the best using one dataset is evaluated as the poorest using another dataset. Here raises an open question: principles need to be established to guide the evaluation of normalization methods. In this study, we propose a principle that one normalization method evaluated as the b

SUBMITTER: Wu Z 

PROVIDER: S-EPMC6503164 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature