Multiple Alignment of Continuous Time Series

@inproceedings{Listgarten2004MultipleAO,
  title={Multiple Alignment of Continuous Time Series},
  author={Jennifer Listgarten and Radford M. Neal and Sam T. Roweis and Andrew Emili},
  booktitle={NIPS},
  year={2004}
}
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained in such noisy replicate sets, we need to align them in an appropriate way (for example, to allow the data to be properly combined by adaptive averaging). We present the Continuous Profile Model (CPM), a generative model in which each observed time series is a non-uniformly subsampled version of a single latent trace, to… CONTINUE READING
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References

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Showing 1-8 of 8 references

Hidden markov models: A guided tour

  • Alan B. Poritz
  • In Proceedings of the IEEE Conference on…
  • 1988
Highly Influential
9 Excerpts

Poritz . Hidden markov models : A guided tour

  • B. Alan
  • Proceedings of the IEEE Conference on Acoustics…
  • 1988

Bioinformatics meets proteomicsbridging theap between mass spectrometry data analysis and cell biology

  • P. Thibault
  • Journal of Bioinformatics and Computational Biol

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