1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2013
Longitudinal analysis of gene expression profiles using functional mixed-effects models
Maurice Berk, Cheryl Hemingway, Michael Levin +1
In many longitudinal microarray studies, the gene expression levels in a random sample are observed repeatedly over time under two or more conditions. The resulting time courses ar…
stat.ME2011
Functional modelling of microarray time series with covariate curves
Maurice Berk, Giovanni Montana
In this paper we have demonstrated a complete framework for the analysis of microarray time series data. The unique characteristics of microarry data lend themselves well to a func…
stat.ME2011★ 1 cited
A Skew-t-Normal Multi-Level Reduced-Rank Functional PCA Model with Applications to Replicated `Omics Time Series Data Sets
Maurice Berk, Giovanni Montana
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 u…