DocumentCode
3118308
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
fYear
2002
fDate
2002
Firstpage
100
Lastpage
101
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Molecular, Cellular and Tissue Engineering, 2002. Proceedings of the IEEE-EMBS Special Topic Conference on
Print_ISBN
0-7803-7557-2
Type
conf
DOI
10.1109/MCTE.2002.1175024
Filename
1175024
Link To Document