Integrative Multi-Omics and Machine Learning Reveal Shared Biomarkers in Type 2 Diabetes and Atherosclerosis
Qingjie Wu, Zhaochu Wang, Mengzhen Fan, Linglun Hao, Jicheng Chen, Changwen Wu, Bizhen Gao · 2025
Read Integrative Multi-Omics and Machine Learning Reveal Shared Biomarkers in Type 2 Diabetes and Atherosclerosis by Qingjie Wu, Zhaochu Wang, Mengzhen Fan, Linglun Hao, Jicheng Chen, Changwen Wu, Bizhen Gao (2025) 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-12786049.txt.
Description
Seven authors led by Qingjie Wu stack gene, cell, and learning reads to find marks shared by type 2 diabetes and artery clog. The clog is the top killer in that sugar ill, yet their shared code was murky. Bank gene sets for both ills gave an overlap pool for the hunt. Path and web reads then sorted which shared genes sit at cross roads.
Seventy-two shared genes made the first pool of the work. Three rose as hub marks with firm call worth across sets in the tests. Immune cell reads and lone-cell reads both point to swelling as the shared fire. Drug teams gain three marks to chase for twin care.
Catalog record
| CREATOR | Qingjie Wu, Zhaochu Wang, Mengzhen Fan, Linglun Hao, Jicheng Chen, Changwen Wu, Bizhen Gao |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |