Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series

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Date

2011-08-18

Author

Yuan, Yuan
Chen, Yi-Ping Phoebe
Ni, Shengyu
Xu, Augix Guohua
Tang, Lin
Vingron, Martin
Somel, Mehmet
Khaitovich, Philipp

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Background: Comparing biological time series data across different conditions, or different specimens, is a common but still challenging task. Algorithms aligning two time series represent a valuable tool for such comparisons. While many powerful computation tools for time series alignment have been developed, they do not provide significance estimates for time shift measurements.

Subject Keywords

Biochemistry, Applied Mathematics, Molecular Biology, Structural Biology, Computer Science Applications

URI

https://hdl.handle.net/11511/36919

Journal

BMC BIOINFORMATICS

DOI

https://doi.org/10.1186/1471-2105-12-347

Collections

Department of Biology, Article

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Citation Formats

Y. Yuan et al., “Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series,” BMC BIOINFORMATICS, pp. 0–0, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36919.