Extracting novel information from gene expression data.
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.
Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, MI 48824, USA.
Zheng
Z
Li
Christina
C
Chan
D019295:Computational Biology; D030561:Databases, Nucleic Acid; D004926:Escherichia coli / Q000235:genetics*; D015870:Gene Expression / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis