Estimating equation-based causality analysis with application to microarray time series data.
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ABSTRACT:
SUBMITTER: Hu J
PROVIDER: S-EPMC2697343 | biostudies-literature | 2009 Jul
REPOSITORIES: biostudies-literature
Publications
Estimating equation-based causality analysis with application to microarray time series data.
Biostatistics (Oxford, England) 20090329 3
Microarray time-course data can be used to explore interactions among genes and infer gene network. The crucial step in constructing gene network is to develop an appropriate causality test. In this regard, the expression profile of each gene can be treated as a time series. A typical existing method establishes the Granger causality based on Wald type of test, which relies on the homoscedastic normality assumption of the data distribution. However, this assumption can be seriously violated in r ...[more]
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