In:
Bioinformatics, Oxford University Press (OUP), Vol. 18, No. 4 ( 2002-04-01), p. 529-535
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. Availability: On request from the authors. Contact: tompa@cs.washington.edu * To whom correspondence should be addressed.
Type of Medium:
Online Resource
ISSN:
1367-4811
,
1367-4803
DOI:
10.1093/bioinformatics/18.4.529
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2002
detail.hit.zdb_id:
1468345-3
SSG:
12
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