Ontology highlight
ABSTRACT:
SUBMITTER: Yuan B
PROVIDER: S-EPMC10501661 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
PLoS computational biology 20230901 9
Microbiome sequencing data normalization is crucial for eliminating technical bias and ensuring accurate downstream analysis. However, this process can be challenging due to the high frequency of zero counts in microbiome data. We propose a novel reference-based normalization method called normalization via rank similarity (RSim) that corrects sample-specific biases, even in the presence of many zero counts. Unlike other normalization methods, RSim does not require additional assumptions or trea ...[more]