3 papers
stat.ME2023
Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data
Andrea Payne, Anjali Silva, Steven J. Rothstein +2
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 purpo…
stat.ME2018
Finite mixtures of matrix-variate Poisson-log normal distributions for three-way count data
Anjali Silva, Steven J. Rothstein, Paul D. McNicholas +2
Three-way data structures, characterized by three entities, the units, the variables and the occasions, are frequent in biological studies. In RNA sequencing, three-way data struct…
stat.ME2017
A Multivariate Poisson-Log Normal Mixture Model for Clustering Transcriptome Sequencing Data
Anjali Silva, Steven J. Rothstein, Paul D. McNicholas +1
High-dimensional data of discrete and skewed nature is commonly encountered in high-throughput sequencing studies. Analyzing the network itself or the interplay between genes in th…