High throughput research workflow
Methods and structures having and/or implementing integrated steps for use in a planning phase of high throughput research which can provide a process flow that can be used provide statistically defensible and reproducible data in high throughput research. The integrated steps can include quantifying systematic variation in a high throughput research system that is to process a candidate, wherein the high throughput research system has at least one physical attribute and at least one environmental attribute, identifying a design objective for the candidate, and providing an experimental design for the candidate that accounts for the systematic variation to produce the statistically defensible results.
1 . A method for providing a workflow that produces statistically defensible data, the method comprising:
quantifying a systematic variation in a high throughput research system that is to process a candidate, wherein the high throughput research system has at least one physical attribute and at least one environmental attribute;
identifying a design objective for the candidate; and
developing an experimental design for the candidate, wherein the experimental design accounts for the quantified systematic variation and is at least based on the design objective to provide the workflow that produces statistically defensible data.
2 . The method of claim 1 , where quantifying systematic variation includes performing a variance component analysis on the high throughput research system.
3 . The method of claim 2 , where performing the variance component analysis includes performing a gauge repeatability and reproducibility study on the high throughput research system.
4 . The method of claim 1 , further comprising modifying a source of systematic variation within the high throughput research system to change the systematic variation.
5 . The method of claim of claim 4 , where modifying the source of systematic variation includes changing at least one physical attribute of the high throughput research system.
6 . The method of claim of claim 4 , where modifying the source of systematic variation includes changing at least one environmental attribute of the high throughput research system.
7 . The method of claim 1 , where developing the experimental design for the candidate includes blocking unavoidable, known systematic variation or randomizing unknown systematic variation to decrease bias effects on the workflow that produces statistically defensible data.
8 . The method of claim 1 , where developing the experimental design for the candidate includes developing at least one of a screening design, a split plot design of experiment, or a classical design of experiment.
9 . The method of claim 8 , where developing at least one of the screening design, the split plot design of experiment, or the classical design of experiment includes determining if there are restrictions in randomization of the high throughput research system and using the resulting determination to select between the split plot design of experiment and the classical design of experiment.
10 . The method of claim 8 , where developing at least one of the screening design, the split plot design of experiment, or the classical design of experiment includes developing a false positive rate and a false negative rate or determining a number of replications when the screening design is developed for the candidate.
11 . A computer readable medium having instructions stored thereon for causing a computing device to perform a method comprising:
quantifying a systematic variation in a high throughput research system that is to process a candidate, wherein the high throughput research system has at least one physical attribute and at least one environmental attribute;
identifying a design objective for the candidate; and
developing an experimental design for the candidate, wherein the experimental design accounts for the quantified systematic variation and is at least based on the design objective to provide a workflow that produces statistically defensible data.
12 . The medium of claim 11 , where quantifying systematic variation includes performing a gauge repeatability and reproducibility study to evaluate a measurement system capability.
13 . The medium of claim 11 , where the method further comprises modifying a source of systematic variation within the high throughput research system to change the systematic variation.
14 . The medium of claim 13 , where modifying the source of systematic variation within the high throughput research system includes modifying at least one physical attribute of the high throughput research system.
15 . The medium of claim 13 , where modifying the source of systematic variation within the high throughput research system includes modifying at least one environmental attribute of the high throughput research system.
16 . The medium of claim 11 , where developing the experimental design for the candidate includes randomizing unknown systematic variation to decrease bias effects on the workflow that produces statistically defensible data.
17 . The medium of claim 11 , where developing the experimental design for the candidate includes blocking unavoidable, known systematic variation to decrease bias effects on the workflow that produces statistically defensible data, determining restrictions in randomization of the high throughput research system, or developing at least one of a screening design, a split plot design of experiment, or a classical design of experiment.
18 . A computing device, comprising:
a processor;
a memory in communication with the processor; and
computer executable instructions stored in the memory and executable by the processor to:
perform a variance component analysis that quantifies a systematic variation on a high throughput research system that is to process a candidate;
identify a design objective for the candidate; and
develop an experimental design for the candidate, wherein the experimental design accounts for the quantified systematic variation and is at least based on the design objective to provide a workflow that produces statistically defensible data.
19 . The device of claim 18 , where the computer executable instructions stored in the memory and executable by the processor to perform the variance component analysis include instructions to perform a gauge repeatability and reproducibility study on the high throughput research system to evaluate a measurement system capability or to develop an experimental design include instructions to provide blocking to decrease bias effects on the workflow that produces statistically defensible data.
20 . The device of claim 18 , where the computer executable instructions stored in the memory and executable by the processor to develop the experimental design include instructions to determine restrictions in randomization of the high throughput research system or to develop at least one of a screening design, a split plot design of experiment, or a classical design of experiment.