HIGHLIGHTS
- who: . and collaborators from the University, China have published the research work: A novel cuproptosis-related prognostic 2-lncRNAs signature in breast cancer, in the Journal: (JOURNAL)
- what: To avoid the model being too complicated, Akaike information criterion (AIC) was used to evaluate the complexity of the model, and model with lowest AIC value (AIC=695.15) and no reduction in prediction efficiency was evaluated as best. This model has been validated by internal validation set and could be an independent prognostic factor for breast cancer patients.
- how: The qPCR data were analyzed . . .
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.