Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps

The proposed feature selection methods and diffusion maps can achieve useful information from the multidimensional gene expression data and prove effective at addressing the problem of high dimensionality inherent in gene expression data analysis.