Evaluation and comparison of gene clustering methods in microarray analysis

@article{Thalamuthu2006EvaluationAC,
  title={Evaluation and comparison of gene clustering methods in microarray analysis},
  author={Anbupalam Thalamuthu and Indranil Mukhopadhyay and Xiaojing Zheng and George C. Tseng},
  journal={Bioinformatics},
  year={2006},
  volume={22 19},
  pages={2405-12}
}
MOTIVATION Microarray technology has been widely applied in biological and clinical studies for simultaneous monitoring of gene expression in thousands of genes. Gene clustering analysis is found useful for discovering groups of correlated genes potentially co-regulated or associated to the disease or conditions under investigation. Many clustering methods including hierarchical clustering, K-means, PAM, SOM, mixture model-based clustering and tight clustering have been widely used in the… CONTINUE READING
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