4 citations · 10 across the 12 of their papers we have counts for
3 papers · 1 filter
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…
On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution
Michael P. B. Gallaugher, Paul D. McNicholas
Recent work on fractionally-supervised classification (FSC), an approach that allows classification to be carried out with a fractional amount of weight given to the unlabelled poi…
Subspace Clustering with the Multivariate-t Distribution
Angelina Pesevski, Brian C. Franczak, Paul D. McNicholas
Clustering procedures suitable for the analysis of very high-dimensional data are needed for many modern data sets. In model-based clustering, a method called high-dimensional data…