Patricio Yankilevich

Latent regularization for feature selection using kernel methods in tumor classification

2020 · arXiv (Cornell University)

The transcriptomics of cancer tumors are characterized with tens of thousands of gene expression features. Patient prognosis or tumor stage can be assessed by machine learning techniques like supervised classification tasks given a gene expression …