Identification of significant periodic genes in microarray gene expression data

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Background: One frequent application of microarray experiments is in the study of monitoring gene activities in a cell during cell cycle or cell division. A new challenge for analyzing the microarray experiments is to identify genes that are statistically significantly periodically expressed during the cell cycle. Such a challenge occurs due to the large number of genes that are simultaneously measured, a moderate to small number of measurements per gene taken at different time points, and high levels of non-normal random noises inherited in the data. Results: Based on two statistical hypothesis testing methods for identifying periodic time series, a novel statistical inference approach, the C&G procedure, is proposed to effectively screen out statistically significantly periodically expressed genes. The approach is then applied to yeast and bacterial cell cycle gene expression data sets, as well as to human fibroblasts and human cancer cell line data sets, and significantly periodically expressed genes are successfully identified. Conclusions: The C&G procedure proposed is an effective method for identifying statistically significant periodic genes in microarray time series gene expression data.

Original languageEnglish (US)
Article number286
JournalBMC Bioinformatics
Volume6
DOIs
StatePublished - Nov 30 2005
Externally publishedYes

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Microarrays
Gene Expression Data
Microarray Data
Gene expression
Genes
Gene
Gene Expression
Cells
Cell Cycle
Microarray
Time series
Bacterial Genes
cdc Genes
Fibroblasts
Random Noise
Cell Division
Cell
Hypothesis Testing
Time Series Data
Statistical Inference

ASJC Scopus subject areas

  • Medicine(all)
  • Structural Biology
  • Applied Mathematics

Cite this

Identification of significant periodic genes in microarray gene expression data. / Chen, Jie.

In: BMC Bioinformatics, Vol. 6, 286, 30.11.2005.

Research output: Contribution to journalArticle

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