1 code implementation • 13 Nov 2023 • Andrea Payne, Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi
A mixture of multivariate Poisson-log normal factor analyzers is introduced by imposing constraints on the covariance matrix, which resulted in flexible models for clustering purposes.
1 code implementation • 22 Jul 2018 • Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi
Matrix variate distributions offer a natural way to model three-way data and mixtures of matrix variate distributions can be used to cluster three-way data.
Methodology
2 code implementations • 30 Nov 2017 • Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi
The aim of applying mixture model-based clustering in this context is to discover groups of co-expressed genes, which can shed light on biological functions and pathways of gene products.
Methodology Quantitative Methods Computation