Elastic net regression training and testing (LENP)

For training and testing LENP models:Input: Expression matrix: Expression/filtered_lncRNA_z_EXP.csv Drug responses data: drug_res/drug_res_merge.csvOperation: (*lead to one or multi output) 1. Parameter Optimization* Output: optimized parameter for 265 drugs (IC50 and AUC) 2. Bootstrapping Using optimized parameters, compute the predictive scores for each drug (IC50 and AUC) 3. Get top predictive genes* Sort the genes by predictive scores and get top 20 genes. Output: predictive score of all genes for each drug (IC50 and AUC) 4. Final model construction*: i. Get coefficients Output: Average coefficiencts of every predictors in each model (IC50 and AUC) ii. Model performance assessments Pearson's correlation coefficients, kendall's tau