I have gene expression data of 100 mice at beginning of a study and have outcome data (binary:yes or no) at several different time points post treatment. I want to build a predictive model of outcome over time using glmnet. I was wondering how to use the outcome data from multiple timepoints as my outcome variable. Since I am interested in optimizing features that can predict outcome over time, I wanted to use glmnet.

My question is, is it possible to generate a multiple (across time points) multivariate (several genes) regression to predict outcome using glmnet. Any help would be greatly appreciated.

Thanks,
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