Title :
Optimal estimation of gene expression
Author :
Seale, D. ; Davies, S.W.
Author_Institution :
Inst. of Biomaterials & Biomed. Eng., Univ. of Toronto, Ont., Canada
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;
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
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053234
