• Corpus ID: 88512061

A Skew-t-Normal Multi-Level Reduced-Rank Functional PCA Model with Applications to Replicated `Omics Time Series Data Sets

  title={A Skew-t-Normal Multi-Level Reduced-Rank Functional PCA Model with Applications to Replicated `Omics Time Series Data Sets},
  author={Maurice Berk and G. Montana},
  journal={arXiv: Methodology},
A powerful study design in the fields of genomics and metabolomics is the 'replicated time course experiment' where individual time series are observed for a sample of biological units, such as human patients, termed replicates. Standard practice for analysing these data sets is to fit each variable (e.g. gene transcript) independently with a functional mixed-effects model to account for between-replicate variance. However, such an independence assumption is biologically implausible given that… 

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