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Protein Engineering vol.11 no.2 pp.87 93, 1998 Recurrence quantification analysis in structure function relationships of proteins: an overview of a general methodology applied to the case of TEM-1
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What is recurrence quantification analysis in?
Recurrence quantification analysis is a method used to analyze the recurrence properties of a time series data, quantifying the patterns, structures, and behaviors in the data.
Who is required to file recurrence quantification analysis in?
Recurrence quantification analysis is a scientific method used in research and analysis, so it is typically performed by researchers, scientists, or analysts working with time series data.
How to fill out recurrence quantification analysis in?
To perform recurrence quantification analysis, you need to have a time series dataset. The analysis involves transforming the data into a recurrence plot and calculating various recurrence quantification measures, such as recurrence rate, determinism, and entropy.
What is the purpose of recurrence quantification analysis in?
The purpose of recurrence quantification analysis is to uncover hidden patterns, structures, and dynamics in time series data. It can help in understanding the underlying processes, predicting future behavior, and identifying anomalies or abnormalities in the data.
What information must be reported on recurrence quantification analysis in?
The specific information that needs to be reported in recurrence quantification analysis depends on the research objectives and the measures being calculated. However, common information reported includes recurrence rate, determinism, entropy, and other measures related to the spatial and temporal properties of the recurrence plot.
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