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Functional annotation and network reconstruction through cross-platform integration of microarray data
DOI:10.1038/nbt1058.png)
Abstract
En 中文
The rapid accumulation of microarray data translates into a need for methods to effectively integrate data generated with different platforms. Here we introduce an approach, 2(nd)-order expression analysis, that addresses this challenge by first extracting expression patterns as meta-information from each data set (1(st)-order expression analysis) and then analyzing them across multiple data sets. Using yeast as a model system, we demonstrate two distinct advantages of our approach: we can identify genes of the same function yet without coexpression patterns and we can elucidate the cooperativities between transcription factors for regulatory network reconstruction by overcoming a key obstacle, namely the quantification of activities of transcription factors. Experiments reported in the literature and performed in our lab support a significant number of our predictions.
Keywords:
TRANSCRIPTIONAL REGULATORY NETWORKS
GENE-EXPRESSION
SACCHAROMYCES-CEREVISIAE
DISCOVERY
CIRCUITRY
MODULES
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41.7
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1.2W
Citations:
10.1W
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