Clustering Genomic Expression Data: Design and Evaluation Principles

摘要: This chapter has introduced key aspects of clustering systems for genomic expression data. An overview the major types approaches, problems and design criteria was presented. It addressed evaluation results prediction optimal partitions. problem, which not traditionally received adequate attention from research community, is crucial implementation advanced clustering-based studies. A cluster framework may have a impact on generation relevant valid results. paper shows how it also support or guide biomedical knowledge discovery tasks. The validation techniques presented in this be applied to data higher sample feature set dimensionality.