Open Jaoseph opened 3 weeks ago
Thank you for your inquiry!
You could understand this similar to regression models with intercepts that captures the baseline effect and improve better estimates of the covariates. Analogously, in Diffsig, your baseline also shows how much each signature is contributing to all samples in your data regardless of their group. The important and interesting part of the result would be the associations for the binary covariate X, which would explain how much more/less group 1 is associated with the signatures compared to group 0.
Please let me know if you have any other questions!
Ji-Eun
Hi! I was looking to apply diffsig within my project and was just wondering if you could clarify the interpretation of the intercept given that it captures the baseline presence of the mutational signatures selected. Given that I have one binary covariate along side the intercept, would the intercept mean that the mutational signature contributes less within the baseline group (the group which = 0), compared to the mutational signatures which are positive?