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

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2011-08-18
Yuan, Yuan
Chen, Yi-Ping Phoebe
Ni, Shengyu
Xu, Augix Guohua
Tang, Lin
Vingron, Martin
Somel, Mehmet
Khaitovich, Philipp
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.

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, vol. 12, pp. 0–0, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36919.