Created by W.Langdon from gp-bibliography.bib Revision:1.1944
@Article{langdon:2009:AMB,
author = "W. B. Langdon and A. P. Harrison",
title = "Evolving {DNA} motifs to Predict {GeneChip} Probe
Performance",
journal = "Algorithms in Molecular Biology",
year = "2009",
volume = "4",
number = "6",
month = "19 " # mar,
keywords = "genetic algorithms, genetic programming,
Bioinformatics, Affymetrix GeneChip, strongly typed
genetic programming, grammars, regular expressions",
ISSN = "1748-7188",
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_amb.pdf",
URL = "
http://www.almob.org/content/4/1/6",
doi = "
doi:10.1186/1748-7188-4-6",
size = "16 pages",
abstract = "Background:
Affymetrix High Density Oligonuclotide Arrays (HDONA)
simultaneously measure expression of thousands of genes
using millions of probes. We use correlations between
measurements for the same gene across 6685 human tissue
samples from NCBI's GEO database to indicated the
quality of individual HG-U133A probes. Low correlation
indicates a poor probe.
Results:
Regular expressions can be automatically created from a
Backus-Naur form (BNF) context-free grammar using
strongly typed genetic programming.
Conclusions:
The automatically produced motif is better at
predicting poor DNA sequences than an existing human
generated RE, suggesting runs of Cytosine and Guanine
and mixtures should all be avoided.",
notes = "Based on \cite{langdon:2008:PPSN}. PMID: 19298675
PMCID: PMC2679018",
}
Genetic Programming entries for William B Langdon A P Harrison