Methods and system for comparing data values across multiple platforms
AssigneeAgilent Technologies, Inc.
InventorJames M. Minor
Life of this patent
Estimating the term…
Abstract
Methods, systems and computer readable media for imposing monotonic consistency among results of multiple platforms measuring the same specific property for the same/equivalent series of samples, to provide viable comparisons of sensitivity and precision among the platforms as well as provide useful conversion formulas among the platforms to ensure equivalent quantitation.
Claims9
A method of correlating measurements of the same group of properties taken by different platforms, said method comprising the steps of:
- representing measurement values of each platform as a vector, respectively, wherein a position of each measurement value in a vector corresponds to the same position in all other vectors and measures the same property;
- calculating a virtual platform with corresponding value positions containing ensemble values representative of the measurement values in all platform vectors at the corresponding positions;
- constructing surrogate values to represent the true values of the properties being measured, to provide consensus-correct ordering of the platform vectors;
- ordering and scaling the ensemble values in the virtual platform;
- for each of the platforms, assuming a mathematical form of a response curve describing the surrogate values as a function of the properties being measured;
- and
- simultaneously solving for a correction factor for at least one surrogate value with regard to at least one platform.
A method of correlating measurements of the same group of properties taken by different platforms, said method comprising the steps of:
- representing measurement values of each platform as a vector, respectively, wherein a position of each measurement value in a vector corresponds to the same position in all other vectors and measures the same property;
- calculating a virtual platform with corresponding value positions containing ensemble values representative of the measurement values in all platform vectors at the corresponding positions;
- and
- ordering and scaling the ensemble values in the virtual platform;
- wherein at least one of the measurement values in at least one of the platform vectors is missing or invalid, and wherein most-likely expected values are inserted in positions in which said at least one missing or invalid measurement value occurs, respectively, and wherein said most-likely expected values are determined by at least one of manually imputing and performing a series of univariate regressions.
Dependencies are inferred from the claim text.