Predict transcriptomic age for multiple processed ExpressionSet objects

This function predicts transcriptomic age for multiple processed ExpressionSet objects using pre-trained models. It supports different normalization methods and model types.

Usage

predict_tAge(tAge_eset, model_paths, species, mode)

Arguments

tAge_eset

A named list of ExpressionSet objects, each representing a different normalization method (e.g., "scaled", "scaled_diff", "yugene", "yugene_diff").

model_paths

A named list of model paths corresponding to each normalization method.

species

Character string specifying the species for the models.

mode

Character string specifying the model type. Must be either "EN" for Elastic Net or "BR" for Bayesian Ridge.

Value

A data frame containing the predicted transcriptomic age results for all provided ExpressionSet objects, with appropriately named columns.