A parallel approach toward correlation measurement for gene pairs with time-lagging expression behaviours

Xiaopeng Cao, Michelle Zhu

Research output: Contribution to journalArticle

Abstract

Time-lagging in expression occurs when a gene's expression triggers a delayed expression in its co-regulated or anti-co-regulated peers. Arbitrary time-lagging also might appear due to experiment or measurement error. Traditional methods will either under-estimate or completely miss such correlation, which is not unusual and plays important roles. Since the traditional similarity measurement cannot capture the true relationship, a simple time-lagging captured algorithm integrated with some existing time-lagging and similarity measurement techniques is proposed with parallel implementation. Improvements such as isolation of experimental conditions and weighted averages are used to achieve better accuracy and give user flexibility to differentiate different experiments.

Original languageEnglish
Pages (from-to)278-287
Number of pages10
JournalInternational Journal of Computational Biology and Drug Design
Volume2
Issue number3
DOIs
StatePublished - Dec 1 2009

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Genes
Measurement errors
Gene expression
Experiments
Gene Expression

All Science Journal Classification (ASJC) codes

  • Drug Discovery
  • Computer Science Applications

Keywords

  • Correlation
  • Dynamic programming
  • Microarray
  • Parallel computing
  • Time-lagging

Cite this

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