Kernelized Information Theoretic Metric Learning for Cancer Diagnosis Using High Dimensional Molecular Profiling Data
With the advancement of genome wide monitoring technologies, molecular expression data have become widely used for diagnosing cancer through tumor or blood samples. When mining molecular signature