Construction of optimal quality control for oligo arrays.
basic_science · Level V
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Abstract
Oligo arrays are important experimental tools for the high throughput measurement of gene expression levels. During production of oligo arrays, it is important to identify any faulty manufacturing step. We describe a practical algorithm for the construction of optimal quality control designs that identify any faulty manufacturing step. The algorithm uses hillclimbing, a search technique from combinatorial optimization. We also present the results of using this algorithm on all practical quality control design sizes. On request from the authors.
Medical subject headings
- Algorithms
- Computer Simulation
- Models, Statistical
- Oligonucleotide Array Sequence Analysis
- Sequence Analysis, DNA