30 research outputs found
Additional files 4: of Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms
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
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
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
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
Additional file 2: Table S2. of Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-seq data
The detail information of 100 DEGs between high and low milk yield cows. (XLSX 19 kb
Additional file 3: Table S3. of Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-seq data
Primer sequences used for qRT-PCR. (DOCX 14 kb
Additional file 1: Table S1. of Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-seq data
The total transcripts analyzed in investigated samples. (XLSX 2461 kb
Additional file 3 of SARS-COV-2 as potential microRNA sponge in COVID-19 patients
Additional file 3. 885 genes significantly enriched by targeting VTMs