TimeNorm: a novel normalization method for time course microbiome data.

ABSTRACT: Metagenomic time-course studies provide valuable insights into the dynamics of microbial systems and have become increasingly popular alongside the reduction in costs of next-generation sequencing technologies. Normalization is a common but critical preprocessing step before proceeding with downstream analysis. To the best of our knowledge, currently there is no reported method to appropriately normalize microbial time-series data. We propose TimeNorm, a novel normalization method that considers the compositional property and time dependency in time-course microbiome data. It is the first method designed for normalizing time-series data within the same time point (intra-time normalization) and across time points (bridge normalization), separately. Intra-time normalization normalizes microb

SUBMITTER: Luo Q 

PROVIDER: S-EPMC11458461 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature