Multiple Alignment of Continuous Time Series

  title={Multiple Alignment of Continuous Time Series},
  author={Jennifer Listgarten and Radford M. Neal and Sam T. Roweis and Andrew Emili},
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
Highly Influential
This paper has highly influenced 14 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 178 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 92 extracted citations

179 Citations

Citations per Year
Semantic Scholar estimates that this publication has 179 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
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

Similar Papers

Loading similar papers…