DocumentCode
2492922
Title
Optimal estimation of gene expression
Author
Seale, D. ; Davies, S.W.
Author_Institution
Inst. of Biomaterials & Biomed. Eng., Univ. of Toronto, Ont., Canada
Volume
3
fYear
2002
fDate
23-26 Oct. 2002
Firstpage
2192
Abstract
Classical stochastic signal modeling is applied to DNA microarray images to obtain an estimator for gene expression level in the infinite SNR case. The derivation of an estimator is shown for both the single-pixel case and the multiple-pixel case. The optimal estimator is a pair of low-order polynomials that are solved simultaneously to produce an estimate.
Keywords
DNA; genetics; physiological models; polynomials; stochastic processes; DNA microarray images; classical stochastic signal modeling; gene expression optimal estimation; infinite SNR case; low-order polynomials pair; multiple-pixel case; single-pixel case; Biomedical engineering; Convolution; DNA; Gene expression; Image analysis; Pixel; RNA; Signal processing; Strontium; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN
1094-687X
Print_ISBN
0-7803-7612-9
Type
conf
DOI
10.1109/IEMBS.2002.1053234
Filename
1053234
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