A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays

@article{Demichelis2006AHN,
  title={A hierarchical Na{\"i}ve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays},
  author={Francesca Demichelis and Paolo Magni and Paolo Piergiorgi and Mark A. Rubin and Riccardo Bellazzi},
  journal={BMC Bioinformatics},
  year={2006},
  volume={7},
  pages={514 - 514}
}
BackgroundUncertainty often affects molecular biology experiments and data for different reasons. Heterogeneity of gene or protein expression within the same tumor tissue is an example of biological uncertainty which should be taken into account when molecular markers are used in decision making. Tissue Microarray (TMA) experiments allow for large scale profiling of tissue biopsies, investigating protein patterns characterizing specific disease states. TMA studies deal with multiple sampling of… CONTINUE READING
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