Methods for analysis of large sets of multiparameter data
First Claim
1. A computer-implemented method for analyzing complex multiparamenter data sets, the method comprising:
- analyzing a first dataset by successive application of a first hierarchically structured set of algorithmic steps, analyzing a second dataset by successive application of a second hierarchically structured set of algorithmic steps, wherein the first and second sets of algorithmic steps are structurally and functionally equivalent, and wherein the first and second sets contain distinct but similar algorithmic steps, and displaying the analyzed data to a user.
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Abstract
This invention relates a series of methods for the visual representation and subsequent application of analyses on complex data sets. In particular, this invention is useful for the analysis of multiple sample sets that share common features, for which similar types of analyses are desired. Three concepts are embodied to aid in this analysis: “Functional equivalence by Algorithmic Polymorphism” (FEAP), in which an analysis algorithm is abstracted through the use of an associated name; a genealogical metaphor for the representation of successive or parallel analysis steps, in which “families” of analyses can be easily copied between different sample data sets; and batch analysis through the creation of multi-sample analysis surrogates (MSAS), which are groups of samples wherein analyses applied to an MSAS is then applied to every sample within the MSAS group. This invention has particular utility in the analysis of data derived from flow cytometers, the analysis of complex demographic data, and other similar data sets.
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Citations
18 Claims
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1. A computer-implemented method for analyzing complex multiparamenter data sets, the method comprising:
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analyzing a first dataset by successive application of a first hierarchically structured set of algorithmic steps, analyzing a second dataset by successive application of a second hierarchically structured set of algorithmic steps, wherein the first and second sets of algorithmic steps are structurally and functionally equivalent, and wherein the first and second sets contain distinct but similar algorithmic steps, and displaying the analyzed data to a user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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Specification