Smooth quantile normalization.

ABSTRACT: Between-sample normalization is a critical step in genomic data analysis to remove systematic bias and unwanted technical variation in high-throughput data. Global normalization methods are based on the assumption that observed variability in global properties is due to technical reasons and are unrelated to the biology of interest. For example, some methods correct for differences in sequencing read counts by scaling features to have similar median values across samples, but these fail to reduce other forms of unwanted technical variation. Methods such as quantile normalization transform the statistical distributions across samples to be the same and assume global differences in the distribution are induced by only technical variation. However, it remains unclear how to proceed with norma

SUBMITTER: Hicks SC 

PROVIDER: S-EPMC5862355 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature