Neural network predicts sequence of TP53 gene based on DNA chip Journal Article
| Authors: | Spicker, J. S.; Wikman, F.; Lu, M. L.; Cordon-Cardo, C.; Workman, C.; Ørntoft, T. F.; Brunak, S.; Knudsen, S. |
| Article Title: | Neural network predicts sequence of TP53 gene based on DNA chip |
| Abstract: | We have trained an artificial neural network to predict the sequence of the human TP53 tumor suppressor gene based on a p53 GeneChip. The trained neural network uses as input the fluorescence intensities of DNA hybridized to oligonucleotides on the surface of the chip and makes between zero and four errors in the predicted 1300 bp sequence when tested on wild-type TP53 sequence. |
| Keywords: | controlled study; gene sequence; major clinical study; sensitivity and specificity; genetic analysis; accuracy; reproducibility of results; in situ hybridization, fluorescence; wild type; protein p53; tumor suppressor gene; dna; molecular sequence data; oligonucleotide array sequence analysis; predictive value of tests; base sequence; dna microarray; oligonucleotide; fluorescence analysis; genes, p53; sequence analysis, dna; artificial neural network; neural networks (computer); dna hybridization; humans; human; priority journal; article |
| Journal Title: | Bioinformatics |
| Volume: | 18 |
| Issue: | 8 |
| ISSN: | 1367-4803 |
| Publisher: | Oxford University Press |
| Date Published: | 2002-08-01 |
| Start Page: | 1133 |
| End Page: | 1134 |
| Language: | English |
| PUBMED: | 12176837 |
| PROVIDER: | scopus |
| DOI: | 10.1093/bioinformatics/18.8.1133 |
| DOI/URL: | |
| Notes: | Export Date: 14 November 2014 -- Source: Scopus |
