System and method for sorting data
View Patent ↗A method and apparatus that enables a user to sort data from one or more sample lots, which may be obtained via a network, such as the Internet, into a composite parameter structure. The composite parameter structure is a function of one or more parameters corresponding to one or more characteristics associated with one or more sample lots. The composite parameter structure representation may be printed, stored, or transmitted to another location. A server device that is coupled and working in conjunction with a client device may implement the present invention.
1. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot;
generating an output representation of the one or more additional parameters; and
establishing a composite parameter structure as a function of the parameters corresponding to characteristics of the first sample lot and the additional parameters.
2. The method of claim 1 , further comprising generating a representation as a function of the characteristics of the first sample lot, the characteristics of the second sample lot, and the composite parameter structure.
3. The method of claim 1 , further comprising modifying one or more boundaries of the composite parameter structure as a function of the one or more characteristics associated with the first sample lot and the second sample lot.
4. The method of claim 3 , wherein the characteristics are a function of a relative retention time.
5. The method of claim 3 , wherein the one or more boundaries are a function of a predetermined mathematical relationship.
6. The method claim 1 , further comprising:
identifying one or more characteristics associated with a third sample lot;
determining whether the one or more characteristics associated with the third sample lot correspond to one or more parameters of the composite parameter structure.
7. The method of claim 6 , further comprising modifying the composite parameter structure as a function of characteristics of the third sample lot.
8. The method of claim 1 , further comprising:
identifying one or more characteristics associated with an n th -sample lot;
determining whether the one or more characteristics associated with the n th -sample lot correspond to one or more parameters of the composite structure.
9. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein the characteristics are a function of one or more peaks.
10. The method of claim 9 , wherein each peak is a function of a relative retention time.
11. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein each parameter is defined as a mathematical quantity.
12. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein each parameter has an upper boundary and a lower boundary.
13. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein the determining step includes assigning one or more compounds to selected parameters.
14. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein each sample lot will have one or more characteristics corresponding to a parameter.
15. A method comprising:
identifying one or more characteristics associated with a first sample lot; identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein when the step of identifying one or more characteristics associated with a second sample lot identifies that more than one characteristic from the first sample lot exists in any one parameter, the parameters are restructured such that no more than one characteristic from a sample lot corresponds to a particular parameter.
16. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying parameters corresponding to each of the one or more characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot;
determining whether the one or more characteristics associated with the second sample lot correspond to one or more of the parameters corresponding to the characteristic of the first sample lot;
establishing one or more additional parameters corresponding to each characteristic of the second sample lot that does not correspond to the parameters corresponding to the characteristic of the first sample lot; and
generating an output representation of the one or more additional parameters, wherein characteristics in a particular parameter originate from different sample lots.
17. The method claim 16 , wherein characteristics in a particular parameter correspond to the same entity.
18. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying one or more parameters associated with the characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot that is a similar type of characteristic identified in the first sample lot;
identifying one or more parameters associated with the characteristics of the second sample lot;
determining whether the one or more parameters associated with the characteristics of the second sample lot corresponds to the one or more parameters associated with the characteristics of the first sample lot;
establishing a composite parameter structure as a function of the parameters associated with the characteristics of the first sample lot and the parameters associated with the characteristics of the second sample lot;
generating an output representation of the composite parameter structure; and
generating a representation as a function of the characteristics of the first sample lot, the characteristics of the second sample lot, and the composite parameter structure.
19. The method of claim 18 , further comprising:
identifying one or more characteristics associated with an n th -sample lot;
identifying one or more parameters associated with the characteristics of the n th -sample lot;
establishing the composite parameter structure as a function of the one or more parameters associated with the characteristics of the first sample lot, the one or more parameters associated with characteristics of the second sample lot, and one or more parameters associated with the characteristics of the n th -sample lot.
20. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying one or more parameters associated with the characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot that is a similar type of characteristic identified in the first sample lot;
identifying one or more parameters associated with the characteristics of the second sample lot;
determining whether the one or more parameters associated with the characteristics of the second sample lot corresponds to the one or more parameters associated with the characteristics of the first sample lot;
establishing a composite parameter structure as a function of the parameters associated with the characteristics of the first sample lot and the parameters associated with the characteristics of the second sample lot;
generating an output representation of the composite parameter structure; and
modifying one or more boundaries of the composite parameter structure as a function of the characteristics of the first sample lot and the second sample lot.
21. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying one or more parameters associated with the characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot that is a similar type of characteristic identified in the first sample lot;
identifying one or more parameters associated with the characteristics of the second sample lot;
determining whether the one or more parameters associated with the characteristics of the second sample lot corresponds to the one or more parameters associated with the characteristics of the first sample lot;
establishing a composite parameter structure as a function of the parameters associated with the characteristics of the first sample lot and the parameters associated with the characteristics of the second sample lot;
generating an output representation of the composite parameter structure, wherein the characteristics are a function of a relative retention time.
22. A method comprising:
identifying one or more characteristics associated with a first sample lot;
identifying one or more parameters associated with the characteristics of the first sample lot;
identifying one or more characteristics associated with a second sample lot that is a similar type of characteristic identified in the first sample lot;
identifying one or more parameters associated with the characteristics of the second sample lot;
determining whether the one or more parameters associated with the characteristics of the second sample lot corresponds to the one or more parameters associated with the characteristics of the first sample lot;
establishing a composite parameter structure as a function of the parameters associated with the characteristics of the first sample lot and the parameters associated with the characteristics of the second sample lot;
generating an output representation of the composite parameter structure, wherein the characteristics are a function of one or more peaks.
23. The method of claim 22 , wherein each peak is a function of a relative retention time.
24. The method of claim 22 , wherein each sample lot will have one or more characteristics corresponding to a parameter.