Gene expression and cancer classification

This cluster of papers focuses on the analysis of microarray data and gene expression profiling, covering topics such as normalization, differential expression, feature selection, machine learning applications, clustering methods, quality control, and bioinformatics tools. The papers discuss various techniques and methods for processing and interpreting gene expression data obtained from microarray experiments.