HIGHLIGHTS
- who: October and colleagues from the University of Toledo, United States have published the Article: Machine learning-based characterization of cuprotosis-related biomarkers and immune in ltration in s disease, in the Journal: (JOURNAL)
- what: Our results identified three characteristic cuprotosis-related genes ATP7A, SLC31A1, and DBT involved in the immune process of Parkinson`s disease.
- how: GSVA results showed that TNFA_SIGNALING signals G2/M cell cycle checkpoints and E2F transcriptional genes were higher in the C2 subtype than in the C1 subtype.
- future: More research is needed on how to . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.