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A strategy for oligonucleotide microarray probe reduction
BACKGROUND: One of the factors limiting the number of genes that can be analyzed on high-density oligonucleotide arrays is that each transcript is probed by multiple oligonucleotide probes. To reduce the number of probes required for each gene, a systematic approach to choosing the most representati...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC151175/ https://www.ncbi.nlm.nih.gov/pubmed/12537562 |
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author | Antipova, Alena A Tamayo, Pablo Golub, Todd R |
author_facet | Antipova, Alena A Tamayo, Pablo Golub, Todd R |
author_sort | Antipova, Alena A |
collection | PubMed |
description | BACKGROUND: One of the factors limiting the number of genes that can be analyzed on high-density oligonucleotide arrays is that each transcript is probed by multiple oligonucleotide probes. To reduce the number of probes required for each gene, a systematic approach to choosing the most representative probes is needed. A method is presented for reducing the number of probes per gene while maximizing the fidelity to the original array design. RESULTS: The methodology has been tested on a dataset comprising 317 Affymetrix HuGeneFL GeneChips. The performance of the original and reduced probe sets was compared in four cancer-classification problems. The results of these comparisons show that reduction of the probe set by 95% does not dramatically affect performance, and thus illustrate the feasibility of substantially reducing probe numbers without significantly compromising sensitivity and specificity of detection. CONCLUSIONS: The strategy described here is potentially useful for designing small, limited-probe genome-wide arrays for screening applications. |
format | Text |
id | pubmed-151175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1511752003-03-13 A strategy for oligonucleotide microarray probe reduction Antipova, Alena A Tamayo, Pablo Golub, Todd R Genome Biol Research BACKGROUND: One of the factors limiting the number of genes that can be analyzed on high-density oligonucleotide arrays is that each transcript is probed by multiple oligonucleotide probes. To reduce the number of probes required for each gene, a systematic approach to choosing the most representative probes is needed. A method is presented for reducing the number of probes per gene while maximizing the fidelity to the original array design. RESULTS: The methodology has been tested on a dataset comprising 317 Affymetrix HuGeneFL GeneChips. The performance of the original and reduced probe sets was compared in four cancer-classification problems. The results of these comparisons show that reduction of the probe set by 95% does not dramatically affect performance, and thus illustrate the feasibility of substantially reducing probe numbers without significantly compromising sensitivity and specificity of detection. CONCLUSIONS: The strategy described here is potentially useful for designing small, limited-probe genome-wide arrays for screening applications. BioMed Central 2002 2002-11-25 /pmc/articles/PMC151175/ /pubmed/12537562 Text en Copyright © 2002 Antipova et al., licensee BioMed Central Ltd |
spellingShingle | Research Antipova, Alena A Tamayo, Pablo Golub, Todd R A strategy for oligonucleotide microarray probe reduction |
title | A strategy for oligonucleotide microarray probe reduction |
title_full | A strategy for oligonucleotide microarray probe reduction |
title_fullStr | A strategy for oligonucleotide microarray probe reduction |
title_full_unstemmed | A strategy for oligonucleotide microarray probe reduction |
title_short | A strategy for oligonucleotide microarray probe reduction |
title_sort | strategy for oligonucleotide microarray probe reduction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC151175/ https://www.ncbi.nlm.nih.gov/pubmed/12537562 |
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