Adaptive quality-based clustering of gene expression profiles

@article{Smet2002AdaptiveQC,
  title={Adaptive quality-based clustering of gene expression profiles},
  author={Frank De Smet and Janick Mathys and Kathleen Marchal and Gert Thijs and Bart De Moor and Yves Moreau},
  journal={Bioinformatics},
  year={2002},
  volume={18 5},
  pages={735-46}
}
MOTIVATION Microarray experiments generate a considerable amount of data, which analyzed properly help us gain a huge amount of biologically relevant information about the global cellular behaviour. Clustering (grouping genes with similar expression profiles) is one of the first steps in data analysis of high-throughput expression measurements. A number of clustering algorithms have proved useful to make sense of such data. These classical algorithms, though useful, suffer from several… CONTINUE READING
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