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    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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    MetaGalaxy

    Tutorial 

    Demo Data

    main.csv,

    pathway.csv

    Demo Video

    Progeny Clustering

    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. 

    Shrinkage Clustering

    © 2022 by the Leukemia Proteome Atlas Team