I have questions regarding data analyses of total RNA seq as follows:
(1) I know the classical goal of RNA seq experiment is to identify Differentially Expressed (DE) genes between two conditions (for eg, case vs control). However, is there a way to predict the class (i.e case vs control) given the expression of the genes? For instance, given the set of genes classify the condition as case or control.
(2) Is there a way to perform feature selection from DEseq2 normalized read counts to be able to include in the downstream analysis mentioned in (1). Meaning, instead of Differential Expression analysis, could I include a select set of genes based on certain criteria of expression threshold?
Your responses are highly appreciated.