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Automated 3D phenotype analysis using data mining.

Ilya Plyusnin1, Alistair R Evans, Aleksis Karme

  • 1Institute of Biotechnology, University of Helsinki, Helsinki, Finland. ipljusni@cc.hut.fi

Plos One
|March 6, 2008
PubMed
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Data mining techniques now enable efficient analysis of 3D biological shapes, specifically mammalian teeth morphology. This approach brings phenome analysis closer to the efficiency of genome studies.

Area of Science:

  • * Computational biology
  • * Evolutionary biology
  • * Paleontology

Background:

  • * Analyzing 3D biological morphology has historically lagged behind other data types like gene sequences.
  • * Efficient analysis of phenomes is crucial for understanding biological diversity and evolution.

Purpose of the Study:

  • * To apply data mining techniques to the analysis of 3D biological shapes.
  • * To develop automated methods for classifying mammalian tooth morphology.
  • * To improve the efficiency of phenome analysis.

Main Methods:

  • * Compilation of five training sets of mammalian tooth morphologies from the MorphoBrowser database.
  • * Automatic extraction of topological attributes using Geographic Information Systems (GIS)-like procedures.

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  • * Application of feature selection schemes and probabilistic classification models (e.g., non-repeated best-first search with 1-nearest neighbor classifier).

    • Main Results:

    • * Successful development of classifiers for predicting dietary class and dental types of mammalian teeth.
    • * Identification of non-repeated best-first search combined with 1-nearest neighbor classifier as an optimal approach for classification accuracy, computational time, and feature set size.
    • * Demonstration of the practicality of several other classification models.

    Conclusions:

    • * This study represents a significant first step towards the automatic analysis of 3D phenotypes.
    • * The developed methods will become increasingly valuable with the growth of 3D morphology and phenomics databases.
    • * Data mining offers a powerful toolkit for advancing the study of biological shape and form.