Table 1.
Structural re-annotation results.
Table 2.
Functional re-annotation results.
Figure 1.
Whole microarray GOSlim modelling.
The difference in number of GO annotations in the GOSlim groups for the GO ontologies ‘cellular component’, ‘molecular function’ and ‘biological process’ between the original and re-annotated whole microarray gene dataset. The whole microarray GOSlim modeling shows that re-annotation increases the number of GO annotations in each GOSlim group for each ontology.
Figure 2.
Differentially Expressed mRNA GOSlim modelling.
The difference in number of GO annotations in the GOSlim groups for the GO ontologies ‘cellular component’, ‘molecular function’ and ‘biological process’ between the original and re-annotated differentially expressed mRNA dataset. The differentially expressed mRNA GOSlim modeling shows that re-annotation increases the number of GO annotations for most GOSlim group. The negative value for the GOSlim group ‘transporter activity’ in the ‘molecular function’ ontology are caused by updated GO annotations to the more detailed ‘protein transporter activity’ GOSlim group.
Table 3.
Top 10 significant pathways original whole microarray dataset.
Table 4.
Top 10 significant pathways re-annotated whole microarray dataset.
Table 5.
Top 10 significant pathways original differentially expressed mRNA dataset.
Table 6.
Top 10 significant pathways re-annotated differentially expressed mRNA dataset.