HIGHLIGHTS
- who: August and colleagues from the Institute of Cytology, Russia Lund University, Sweden have published the article: Integrated bioinformatical analysis, machine learning and in vitro experiment-identi ed m6A subtype, and predictive drug target signatures for diagnosing renal brosis, in the Journal: (JOURNAL)
- how: A total of three sets of the expression data were obtained Identification of m6A modification subtypes in renal fibrosis A. GSE22459 65 samples 25 normal and 40 renal fibrosis samples were included. Subsequently the associations between each module and clinical features were calculated . The authors compared the IC50 levels of five . . .
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.