Regulator effects network generated from Ingenuity Pathways Analysis. Jingyi Gan Hans-Joachim Sonntag Mei kuen Tang Dongqing Cai Kenneth Ka Ho Lee 10.1371/journal.pone.0133288.g008 https://plos.figshare.com/articles/figure/_Regulator_effects_network_generated_from_Ingenuity_Pathways_Analysis_/1491702 <p>Upstream regulators are displayed in the top tier, while diseases, functions and phenotypes are displayed in the bottom tier. The dataset genes that connect the upper regulators and the lower diseases and functions are displayed in the middle tier. The causal consistency relationships are represented with orange and blue lines, while the inconsistent relationships are represented as yellow line. Note that some of the dataset genes displayed in the middle tier may have been predicted to be activated or inhibited by upstream regulators, and under such situation is colored orange or blue, respectively (for example CCND1 and E2F1 in the network).</p> 2015-07-22 02:59:17 bioinformatics analysis Regulator Effects network analysis growth arrest gene ontology ipa heart tissues microarray analysis gene ontology categories gata transcriptional regulation gene interaction networks Postnatal Mouse Heart Transcriptome Functional annotation cardiomyocyte exit IGF 1R postnatal heart development infarcted heart myh tasp dna mouse hearts cardiomyocyte proliferation Ingenuity Pathways Analysis interaction networks tob aif Integrative analysis enrichment analyses postnatal mouse hearts KEGG pathway cell cycle TFF