PMID: 11906739Mar 22, 2002Paper

Gene expression profiling diagnosis through DNA molecular computation

Trends in Biotechnology
Allen P Mills

Abstract

Gene expression profiling is the characterization of cells based on the level of gene activity represented by concentrations of complementary DNA reverse transcribed from messenger RNA. The spectrum of cDNA concentrations, the expression profile, is determined using a DNA microarray. Although this approach is valuable for research, a simpler scheme that would give answers on a shorter time-scale for clinical applications is needed. An Adleman DNA self-assembly computer that would use cDNA as input might be ideal for clinical cell discrimination and a neural network architecture would be appropriate for making the necessary classifications. Preliminary experimental results suggest that expression profiling should be feasible using a DNA neural network that acts directly on cDNA.

References

Oct 1, 1996·Medical Decision Making : an International Journal of the Society for Medical Decision Making·W Penny, D Frost
Jan 23, 1999·Nature Genetics·D J DugganJ M Trent

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Citations

Feb 28, 2003·Surgery·Jeffrey L Johnson, Alan H Harken
Feb 21, 2003·Annals of the New York Academy of Sciences·Faramarz Valafar
Oct 3, 2003·Proceedings of the National Academy of Sciences of the United States of America·Katherine R KozakRobin Farias-Eisner
Dec 10, 2009·Bio Systems·Hee-Woong LimByoung-Tak Zhang
Jul 15, 2015·Bio Systems·Yung-Kyun NohByoung-Tak Zhang
May 2, 2018·Nature Chemistry·Randolph LopezGeorg Seelig

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