Gene expression and cancer classification

Gene expression and cancer classification is a research topic within Molecular Biology. Science Explorer counts 33k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

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.

• Microarray
• Gene Expression
• Data Analysis
• Normalization
• Differential Expression
• Feature Selection
• Machine Learning
• Clustering
• Quality Control
• Bioinformatics