Using persistent homology and dynamical distances to analyze protein binding.

@article{KovaevNikoli2016UsingPH,
  title={Using persistent homology and dynamical distances to analyze protein binding.},
  author={Violeta Kova{\vc}ev-Nikoli{\'c} and Peter Bubenik and Dragan Nikoli{\'c} and Giseon Heo},
  journal={Statistical applications in genetics and molecular biology},
  year={2016},
  volume={15 1},
  pages={
          19-38
        }
}
  • Violeta Kovačev-Nikolić, Peter Bubenik, +1 author Giseon Heo
  • Published in
    Statistical applications in…
    2016
  • Mathematics, Biology, Medicine
  • Persistent homology captures the evolution of topological features of a model as a parameter changes. The most commonly used summary statistics of persistent homology are the barcode and the persistence diagram. Another summary statistic, the persistence landscape, was recently introduced by Bubenik. It is a functional summary, so it is easy to calculate sample means and variances, and it is straightforward to construct various test statistics. Implementing a permutation test we detect… CONTINUE READING

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