%0 Journal Article %A Care, Matthew %A Westhead, David %A Tooze, Reuben %D 2015 %T Additional file 2: Figure S2. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma %U https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_Figure_S2_of_Gene_expression_meta-analysis_reveals_immune_response_convergence_on_the_IFN_-STAT1-IRF1_axis_and_adaptive_immune_resistance_mechanisms_in_lymphoma/4461848 %R 10.6084/m9.figshare.c.3642281_D8.v1 %2 https://ndownloader.figshare.com/files/7191263 %K DLBCL %K PDF 1658 kb %K gene signature %K IFN Îł-STAT axis %K GCB-DLBCL %K ontology enrichments %K COO-unclassified %K CU %K Gene expression meta-analysis %K ABC-DLBCL %X Outline of the process for integrating and visualizing analysis of gene signature and ontology enrichments. The flow diagram illustrates the process for integrating gene signature and ontology enrichments. The initial assessment of overlap between meta-profiles derived from the comparison of ABC-DLBCL versus COO-unclassified (CU) DLBCL and GCB-DLBCL versus COO-unclassified (CU) DLBCL is shown at the top of the figure, followed by the parallel analysis of gene ontology (BiNGO) and hypergeometric testing of signature enrichments. Next a matrix is illustrated showing the occurrence of genes versus enriched signatures (green fill), followed by analysis of correlations (Phi coefficient) by column (signature/ontology terms) or by row (genes) and hierarchical clustering. (PDF 1658 kb) %I figshare