Development and application of a modified dynamic time warping algorithm (DTW-S) to analyses of primate brain expression time series
2011
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.
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