Interactive visualization of gene co-expression networks, expression and funtional enrichment analysis.
| Gene ID | Description | PCC | Relationship |
|---|---|---|---|
| OS493_033100-T1 | CARCINOEMBRYONIC ANTIGEN-RELATED CELL ADHESION MOLECULE 8 | 1 | positive |
| OS493_018329-T1 | -- | 0.70 | positive |
| OS493_007136-T1 | -- | 0.67 | positive |
| OS493_012640-T1 | POLYCYSTIN FAMILY MEMBER | 0.66 | positive |
| OS493_033838-T1 | -- | 0.65 | positive |
| OS493_030912-T1 | GLUTATHIONE S-TRANSFERASE | 0.65 | positive |
| OS493_027072-T1 | -- | 0.64 | positive |
| OS493_015619-T1 | -- | 0.63 | positive |
| OS493_036925-T1 | -- | 0.60 | positive |
What this does. Everything above treats every gene the same way. Dynamic Expression View redraws this same network but colours each node by how much that gene changes between two conditions, so you can see which part of the network responds. It needs one input the network itself does not carry: a per-gene expression ratio.
Where the ratio comes from. CnidoSite holds an RNA-seq expression matrix for this species, so the ratio can be built here rather than elsewhere: pick the samples for each side of your comparison and every gene gets log2((mean of group A + 1) / (mean of group B + 1)). This network has 13 gene pairs and one run of Dynamic Expression View draws at most 10, so the button below carries the 10 with the strongest |PCC|.
GeneA GeneB, one pair per line. Its step 3 still needs the expression ratios.
