Robust informatics methods for accurate diagnosis using highly multiplexed virus arrays.

Yang Liu, Lee Sam, Jianrong Li, Yves A Lussier

Research output: Contribution to journalArticle

Abstract

To address the limitations of traditional pathogen detection methodologies in clinical diagnosis, scientists have developed oligonucleotide microarrays. However, pathogen array interpretation remains challenging because of false positive probes. We conceived a novel computational method to interpret these arrays. In an evaluation using clinical samples, our method was compared to five others. Though most methods showed high specificity and sensitivity, only the proposed method showed significant advantages in positive predictive value (2-60 fold increase).

Original languageEnglish (US)
Pages (from-to)1039
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2007
Externally publishedYes

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Informatics
Viruses
Oligonucleotide Array Sequence Analysis
Sensitivity and Specificity

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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title = "Robust informatics methods for accurate diagnosis using highly multiplexed virus arrays.",
abstract = "To address the limitations of traditional pathogen detection methodologies in clinical diagnosis, scientists have developed oligonucleotide microarrays. However, pathogen array interpretation remains challenging because of false positive probes. We conceived a novel computational method to interpret these arrays. In an evaluation using clinical samples, our method was compared to five others. Though most methods showed high specificity and sensitivity, only the proposed method showed significant advantages in positive predictive value (2-60 fold increase).",
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