A novel supervised trajectory segmentation algorithm identifies distinct types of human adenovirus motion in host cells.

@article{Helmuth2007ANS,
  title={A novel supervised trajectory segmentation algorithm identifies distinct types of human adenovirus motion in host cells.},
  author={Jo A. Helmuth and Christoph J. Burckhardt and Petros Koumoutsakos and Urs F. Greber and Ivo F. Sbalzarini},
  journal={Journal of structural biology},
  year={2007},
  volume={159 3},
  pages={347-58}
}
Biological trajectories can be characterized by transient patterns that may provide insight into the interactions of the moving object with its immediate environment. The accurate and automated identification of trajectory motifs is important for the understanding of the underlying mechanisms. In this work, we develop a novel trajectory segmentation algorithm based on supervised support vector classification. The algorithm is validated on synthetic data and applied to the identification of… CONTINUE READING

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