Aligning gene expression time series with time warping algorithms

  title={Aligning gene expression time series with time warping algorithms},
  author={John Aach and George M. Church},
  volume={17 6},
UNLABELLED motivation: Increasingly, biological processes are being studied through time series of RNA expression data collected for large numbers of genes. Because common processes may unfold at varying rates in different experiments or individuals, methods are needed that will allow corresponding expression states in different time series to be mapped to one another. RESULTS We present implementations of time warping algorithms applicable to RNA and protein expression data and demonstrate… CONTINUE READING
Highly Influential
This paper has highly influenced 32 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 672 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 276 extracted citations

672 Citations

Citations per Year
Semantic Scholar estimates that this publication has 672 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 39 references

The symmetric time-warping problem: from continuous to discrete. In Sankoff,D. and Kruskal,J. (eds), Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison

  • J. B. Kruskal, M. Liberman
  • CSLI Publications,
  • 1999
Highly Influential
9 Excerpts

Distinct types of diffuse

  • A. A. Alizadeh, Eisen, M.B
  • 2000
2 Excerpts

Molecular classification

  • M. Bittner, P Meltzer
  • 2000

Similar Papers

Loading similar papers…