30 research outputs found

    Additional files 4: of Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

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    Description of data: average GO similarity distance scores of intra-cluster, inter-cluster, and difference between intra-cluster and inter-cluster in each algorithm in each cancer type. (ZIP 8 kb

    Additional files 1: of Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

    No full text
    Description of data: top 38 edge-weighted miRNA-mRNA pairs of all six edge weight formulas clustered by traditional hierarchical clustering algorithm are shown in the graphs. (ZIP 39 kb

    Additional files 3: of Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

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    Description of data: the graphs describe the change of cluster numbers and mathematical condition satisfactions as more merging rounds are applied to different cancer types by MWMM approach. The supplementary graphs have the same setting as Figs. 17 and 23 in the context. (ZIP 62 kb

    Additional files 2: of Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

    No full text
    Description of data: inner weight, emitter to matched receiver outer weight, receiver to matched emitter outer weight, condition 01, and condition 02 of each cluster derived from a specific algorithm in the MWMM approach. (ZIP 18 kb
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