Aligning gene expression time series with time warping algorithms

@article{Aach2001AligningGE,
  title={Aligning gene expression time series with time warping algorithms},
  author={John Aach and George M. Church},
  journal={Bioinformatics},
  year={2001},
  volume={17 6},
  pages={495-508}
}
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
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