Extracting novel information from gene expression data

Zheng Li, Christina Chan

Research output: Contribution to journalArticle

  • 7 Citations

Abstract

Data from high throughput technologies, such as DNA microarrays, necessitated the development of new computational methodologies for analyzing the high dimensional information contained within the gene expression data. Liao's group suggested the use of network component analysis to predict transcription factor activities by integrating gene expression data from Escherichia coli with known connectivity information between their genes and transcription factors. This introduces an approach for obtaining novel information from gene expression data.

LanguageEnglish (US)
Pages381-383
Number of pages3
JournalTrends in Biotechnology
Volume22
Issue number8
DOIs
StatePublished - Aug 1 2004

Profile

Gene expression
Transcription factors
Gene Expression
Transcription Factors
Network components
Microarrays
Oligonucleotide Array Sequence Analysis
Escherichia coli
DNA
Genes
Throughput
Technology

ASJC Scopus subject areas

  • Bioengineering

Cite this

Extracting novel information from gene expression data. / Li, Zheng; Chan, Christina.

In: Trends in Biotechnology, Vol. 22, No. 8, 01.08.2004, p. 381-383.

Research output: Contribution to journalArticle

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