Hao-Ze Song

Parallel Dynamic Adaptive Transfer Function Based on Population Diversity to Solve High‐Dimensional Cancer Gene Expression Data Feature Selection Problem

In cancer genomics research, feature selection (FS) of high‐dimensional gene expression data is of great significance to improve classification accuracy and reduce feature number. Aiming at the limitations of traditional transfer functions, such as nonadaptability and being prone to fall into local optimum when deali...