Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses

@article{Bertoni2006RandomizedMF,
  title={Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses},
  author={Alberto Bertoni and Giorgio Valentini},
  journal={Artificial intelligence in medicine},
  year={2006},
  volume={37 2},
  pages={85-109}
}
OBJECTIVE Clustering algorithms may be applied to the analysis of DNA microarray data to identify novel subgroups that may lead to new taxonomies of diseases defined at bio-molecular level. A major problem related to the identification of biologically meaningful clusters is the assessment of their reliability, since clustering algorithms may find clusters even if no structure is present. METHODOLOGY Recently, methods based on random "perturbations" of the data, such as bootstrapping, noise… CONTINUE READING
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