EnrichGT - Finding biological themes

EnrichGT <- Fast, light weight enrichment analysis + insightful re-clustering results make all results explainable + Pretty HTML tables, Just in ONE package, designed for researchers in wet-labs.

Please see the package website for more info: https://zhimingye.github.io/EnrichGT/

• Efficient C++-based functions for rapid enrichment analysis

• Simple input format, empowering non-pro users

• Re-clustering of enriched results provides clear and actionable insights

• User-friendly HTML output that is easy to read and interpret

• Do a series of things just in ONE package

Install

install.packages("pak")
pak::pkg_install("ZhimingYe/EnrichGT")

WorkFlows

graph LR
    
    M[genes]
    N[genes with weights]
    
    subgraph Enrichment Analysis
        A[egt_enrichment_analysis]
        B[egt_gsea_analysis]
    end

    subgraph Pathway Databases
        D[database_* funcs]
    end

    subgraph Visualize results
        P1[egt_plot_results]
        P2[egt_plot_umap]
    end

    subgraph egt_recluster_analysis
        K1[Pretty table]
        CC[cluster modules]
        MG[gene modules]
    end

    subgraph Pathway Act. and TF infer 
        
        I[egt_infer]
    end
    
    M --> A
    N --> B
    
    D --> A
    D --> B
    
    A --> C[Enriched Result]
    B --> C

    C --> CC
    C --> MG

    C --> P1

    CC --> K1
    MG --> K1

    CC --> P1
    CC --> P2

    MG --> I

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