【 文献类型 】 期刊论文
【 正 题 名 】 Gene expression profiling diagnosis through DNA molecular
computation.
【 作 者 】 Mills AP Jr
【 作者单位 】 Physics Dept, University of California, Riverside, CA 92521-0413,
USA. apmjr@citrus.ucr.edu
【 刊 名 】 Trends in Biotechnology
【 出版年份 】 2002
【 年 卷 期 】 V.20
【 ISBN 】 0167-7799
【 页 码 】 P.137-140
【 总页数 】 4
【 分 类 号 】 R3
【 关 键 词 】 Computational Biology; DNA, Complementary; Gene Expression
Profiling; Oligonucleotide Array Sequence Analysis; 计算生物学; DNA, 互补;
寡核苷酸序列分析; 序列分析, DNA
【 正文语种 】 eng
【 文 摘 】 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.
