simonorozcoarias/ML_DL_microArrays

Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario