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Functional annotation and network reconstruction through cross-platform integration of microarray data

delete2005-01-16
delete127
PRE
AI
Z
Zhou, XHJ
M
Ming-Chih J. Kao
H
Haiyan Huang
A
Angela Wong
J
Juan Nunez-Iglesias
M
Michael Primig
O
Oscar M. Aparicio
C
Caleb E. Finch
T
Todd E. Morgan
W
Wing Hung Wong
DOI:10.1038/nbt1058delete
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Abstract

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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Journal

Nature Biotechnology cover
Nature Biotechnology
IF:
41.7
Papers:
1.2W
Citations:
10.1W

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