EpistasisLab / EpistasisLab/tpot
Covariate adjustment for continuous and binary trait
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Description
I am trying to use ResAdjTranformer() for feature-only adjustments. How do I adjust for a continuous and binary trait together?
## Context of the issue
I have done the adjustment by individual covariates depending on their type. For example, I used linear regression to adjust Age, and for binary trait-like Sex use logistic regression.
**Here's the sample covariate file:**
Feature, Type , Covariates
Feature-1 , linear , Age
Feature-1 , logistic , Sex
Feature-2 , linear , Age
Feature-2 , logistic , Sex
...
Could I do the following and TPOT will take of the binary trait automatically?
_Feature-1, linear, Age;Sex_
Additionally, after I use ResAdjTranformer(), Is there a way to know % variance explained by each covariate across different features? If so, could you please guide me to an example?
Thank you so much for helping me in advance.
Best,
P.
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