iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
Fig 5
iHerd highlights extensive cell-type-specific divergent genes in brain disorders.
(a-c) The analysis of excitatory neurons from control to MDD. (a) The UMAP of one example of an early divergent gene: ENPEP and the normalized L2 distance among different stages for EDG. (b) The UMAP of one example of a late divergent gene: INPP5D and the normalized L2 distance among different stages for LDG. (c) The normalized correlation changes for the top rewiring gene and the top conserved gene. The top rewiring gene “ENPEP” shows larger correlation changes with other genes while the top conserved gene “ZNF804A” almost has no correlation changes with other genes. (d-f) The analysis of excitatory neurons from control to PTSD. (d) The UMAP of one example of an early divergent gene: TGFBR3 and the normalized L2 distance among different stages for ED(e) The UMAP of one example of a late divergent gene: ADARB2 and the normalized L2 distance among different stages for LDG. (f) The normalized correlation changes for the top rewiring gene and the top conserved gene. The top wiring gene “TGFBR3” shows larger correlation changes with other genes while the top conserved gene “SLC26A4-AS1” almost has no correlation changes with other genes.