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