Quantifying evidence for regulatory control and mechanisms with complex adaptive systems metrology by computation methods and systems

A complex adaptive systems metrology (CASM) system for determining evidence for measuring internal function in an individual representing a complex adaptive system, the system comprising:

• at least one processing device;
• and
• memory storing instructions that when executed cause the at least one processing device to perform operations comprising:
• receiving multivariate time series data comprising action variables representing the individual;
• decomposing the time series data to distinguish evidence for regulatory temporal interactions from linear and nonlinear trends in the action variables;
• digitizing each action variable having more than two levels to a set of digital time series comprising zeros and ones to generate analysis parameters, wherein the analysis parameters include at least one independent action variable level for one or more independent action variables and at least one dependent action variable level for one or more dependent action variables, wherein the independent action variables and the dependent action variables quantify the internal function of the individual;
• determining additional analysis parameters by generating a plurality of additional sets of digital time series, the generating including applying operationally defined rules to the digitized set of digital time series, wherein the additional analysis parameters include delay of regulatory response and persistence of regulatory effects;
• cross-classifying each digital time series for a respective independent action variable with each digital time series for a respective dependent action variable, the cross-classifying comprising generating one or more multidimensional arrays of tables;
• computing, for each of the tables, a raw and unstandardized temporal-interaction score;
• standardizing each raw and unstandardized temporal-interaction score;
• generating a summary regulatory control score for each multidimensional array, the summary score being based on the standardized temporal-interaction scores, wherein:
• a positive summary score indicates evidence of ordered regulatory control and
• a negative summary score indicates evidence of dysregulation and disordered regulatory mechanisms;
• determining, based on the generated summary regulatory control score for each multidimensional array, a quantitative significance estimate of the generated summary regulatory control score using permutation tests that randomly permute a temporal order of one or more of the time series;
• and
• applying the summary regulatory control scores and associated quantitative significance estimates to assess regulatory function in the individual, wherein dysregulation evidenced by quantitatively significant negative summary scores indicates a disordered internal function for the individual.

A non-transitory computer-readable medium for a complex adaptive systems metrology (CASM) for determining evidence measuring internal function in an individual representing a complex adaptive system, comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• receiving multivariate time series data comprising action variables representing the individual;
• decomposing the time series data to distinguish evidence for regulatory temporal interactions from linear and nonlinear trends in the action variables;
• digitizing each action variable having more than two levels to a set of digital time series comprising zeros and ones to generate analysis parameters, wherein the analysis parameters include at least one independent action variable level for one or more independent action variables and at least one dependent action variable level for one or more dependent action variables, wherein the independent action variables and the dependent action variables quantify the internal function of the individual;
• determining additional analysis parameters by generating a plurality of additional sets of digital time series, the generating including applying operationally defined rules to the digitized set of digital time series, wherein the additional analysis parameters include delay of regulatory response and persistence of regulatory effects;
• cross-classifying each digital time series for a respective independent action variable with each digital time series for a respective dependent action variable, the cross-classifying comprising generating one or more multidimensional arrays of tables;
• computing, for each of the tables, a raw and unstandardized temporal-interaction score;
• standardizing each raw and unstandardized temporal-interaction score;
• generating a summary regulatory control score for each multidimensional array, the summary score being based on the standardized temporal-interaction scores, wherein:
• a positive summary score indicates evidence of ordered regulatory control and
• a negative summary score indicates evidence of dysregulation and disordered regulatory mechanisms;
• determining, based on the generated summary regulatory control score for each multidimensional array, a quantitative significance estimate of the generated summary regulatory control score using permutation tests that randomly permute a temporal order of one or more of the time series;
• and
• applying the summary regulatory control scores and associated quantitative significance estimates to assess regulatory function in the individual, wherein dysregulation evidenced by quantitatively significant negative summary scores indicates a disordered internal function for the individual.