Molecular maps of diseases from omics data and network embeddings
Dewei Hu, Anna-Lisa Schaap-Johansen, Julia Villarroel, Clara Ekebjærg, Simon Rasmussen, Daniel Hvidberg Hansen, Rasmus Wernersson, Lars Juhl Jensen · 2026
Read Molecular maps of diseases from omics data and network embeddings by Dewei Hu, Anna-Lisa Schaap-Johansen, Julia Villarroel, Clara Ekebjærg, Simon Rasmussen, Daniel Hvidberg Hansen, Rasmus Wernersson, Lars Juhl Jensen (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13470450.txt.
Description
Dewei Hu built tiny disease maps in 2026 by mixing omics data with protein network maps. Omics studies usually score genes one by one, missing system-level teamwork in teams and pathways. Disease-own genes, RNA reads, gene changes, and protein reads data were fused with the STRING working link network through node2vec maps.
Maps for seven swelling, cancer, brain, and blood-vessel ills found two to four times as many known disease-linked proteins as omics alone at equal strictness. Grouping showed shared modules such as swelling pathways and cancer hallmarks, plus disease-own ones like skin hardening in atopic skin rash and matrix rebuild in aortic bulge. Network maps thus sharpen disease biology and target hunt.
Catalog record
| CREATOR | Dewei Hu, Anna-Lisa Schaap-Johansen, Julia Villarroel, Clara Ekebjærg, Simon Rasmussen, Daniel Hvidberg Hansen, Rasmus Wernersson, Lars Juhl Jensen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |