Abstract
Motivation: 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. Results: 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 529-535 |
| Number of pages | 7 |
| Journal | Bioinformatics |
| Volume | 18 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2002 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics
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