The three-way data example above has a row for each gene. Each column represents a specific time point in the data of a subject. The area A represents a core module: (1) it has a set of rows that are likely to be active together across a set of subjects, and (2) it has a set of active time points in each covered subject, and these sets differ between subjects The other areas represent subject-specific augmentations of the core module.
|Gibbs sampling implementation||R implementation of TWIGS|
|Helper functions||Auxiliary functions, e.g., implementation of the simulations|
|Run commands||R commands for producing the TWIGS results on the real data (fMRI and gene expression)|
A hierarchical Bayesian model for flexible module discovery in three-way time series data,
David Amar, Daniel Yekutieli, Adi Maron-Katz, Talma Hendler, and Ron Shamir. To appear in ISMB 2015.