Title :
Stochastic model of DNA microarrays
Author :
Seale, D. ; Davies, S.W.
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
Abstract :
Classical stochastic signal modeling is applied to DNA microarray images. The data reflects a small exponential additive noise process and a larger Gaussian fluctuation that scales with spot intensity. The later is likely do to the array fabrication (i.e. printing) process. Correlations are observed amongst pixels in the spot and between test and control images.
Keywords :
DNA; arrays; biomedical optical imaging; genetics; stochastic processes; DNA microarrays; array fabrication; classical stochastic signal modeling; control images; larger Gaussian fluctuation; pixels; printing process; small exponential additive noise process; spot intensity; test images; Biomedical engineering; DNA computing; Gene expression; Histograms; Pixel; RNA; Sequences; Stochastic processes; Stochastic resonance; Testing;
Conference_Titel :
Molecular, Cellular and Tissue Engineering, 2002. Proceedings of the IEEE-EMBS Special Topic Conference on
Print_ISBN :
0-7803-7557-2
DOI :
10.1109/MCTE.2002.1175024
