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Time-delay correlation is designed to infer potential causal relationships between perturbations and responses in systems. It extends linear correlation by determining the best correlations among profiles shifted in time. For given time-dependent vectors \( X(t) \) and \( Y(t) \), the correlation between them with a time lag \( \tau \) is defined by
where \( \bar{X} \), \( \bar{Y} \) is the average value of \( X \) and \( Y \) across time, respectively, and the angled brackets represent the inner product between the time-shifted profiles. Then the maximum absolute value of \( {{r}_{{XY}}}(\tau ) \) across time
is used to represent the best correlation between \( X...
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References
Arkin A, Ross J (1995) Statistical construction of chemical reaction mechanisms from measured time-series. J Phys Chem 99:970–979
Schmitt WA Jr, Raab RM, Stephanopoulos G (2004) Elucidation of gene interaction networks through time-lagged correlation analysis of transcriptional data. Genome Res 14:1654–1663
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Wang, J. (2013). Time-Delay Correlation. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_374
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DOI: https://doi.org/10.1007/978-1-4419-9863-7_374
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9862-0
Online ISBN: 978-1-4419-9863-7
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