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Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

The small number of samples and the curse of dimensionality hamper the better application of deep learning techniques for disease classification. Additionally, the performance of clustering-based feature selection algorithms is still far from being satisfactory due to their limitation in using unsupervised learning methods. |