Elastic net regression training and testing (LENP)
收藏Mendeley Data2024-01-31 更新2024-06-30 收录
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https://figshare.com/articles/Elastic_net_regression_training_and_testing_LENP_/6480461/1
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资源简介：
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
创建时间：
2024-01-31
