MetaGalaxy

Nature Biomedical Engineering, 2019

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Platform that streamlines the process to identify patterns in global and functional networks linked to an outcome, from molecular expression data. Website provides an R Shiny portal implementing MetaGalaxy for users' data. A tutorial and demo data are below.

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Tutorial 

Demo Data

main.csv,

pathway.csv

Demo Video

Progeny Clustering

Scientific Reports, 2015

The R Journal, 2016

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Algorithm to identify the ideal number of clusters. Conserves on the number of samples needed. Compatible with multiple clustering approaches.

Shrinkage Clustering

BMC Bioinformatics, 2018

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Very fast, computationally efficient method that integrates both clustering and cluster optimization (identification of the ideal number of clusters) in a single algorithm. Enables minimal cluster size constraints.