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  • Changelog
    v0.1 cell line networks
    v0.2 aggregate tissue networks
    v0.3 TF enrichement tool
    v0.4 single-sample tissue networks
    v0.5 CLUEreg tool
    v0.6 colon cancer networks
    v0.7 drug networks
    v0.7.1 API v1
    v0.8 liver, cervix, and breast cancer networks
    v0.9 miRNA tissue networks
    v0.9.1 bootstrap 5
    v1.0 glioblastoma networks
    v1.0.1 drug combinations
    v1.1 Cell line networks
    v1.2 User upload network
    v1.2.1 Gene targeting table
    v1.2.2 DRAGON miRNA network
    v1.3 Network comparison
    v1.3.1 Guided tours
    v1.4.0 CCLE multi-omic map
    v1.5.0 EGRET networks
    v1.6.0 BONOBO networks
    v1.7.0 tcga-data-nf networks

    Liver cancer networks

    Data sets 1 Networks Aggregate 1

    Hover over the bar plot to get the GO term. Differentially targeted genes and TFs were computed by comparing a cancer network to all other cancers.

    Tool description

    PANDA reconstructs a gene regulatory network using TF PPI, TF DNA binding motif, and gene expression samples. You can check the phenotypic information for the clinical variables of the samples that were used to reconstruct the network.
    The variable Samples indicates the number of samples used for network reconstruction. For single-sample networks, clicking the number of samples links to the phenotypic variable table and the individual networks. The number in the Sample variable and the phenotypic variable table may be different because the table can include samples from other studies. For example, in colon cancer, 444 TCGA samples were used to build LIONESS networks in a first study and 445 samples were used for a more recent study. The superset of both TCGA samples is comprised of 487 samples, which is the size of the pheotypic variables table. This discrepancy is due to different pre-processinng techniques, inclusion/exclusion criteria, and sample quality-control.

    # Tissue Tool netZoo release Network
    PPI
    Motif Expression Regulator nReg Genes Data Samples Precision
    Reference

    Variable description

    This is a description of the primary clinical variables of the gene expression samples that were used to generate the gene regulatory network.

    Sample
    Gender Race Stage
    Vital status Age
    Days to last follow up Tumor ID
    Sample Gender Race Stage Status Age Days to follow up Tumor ID
    Contact

    Department of Biostatistics
    Harvard T.H. Chan School of Public Health

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