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This approach has a solid theoretical foundation, offers a probabilistic framework to describe the variation typically observed in microarray data, accommodates missing data, and incorporates prior knowledge on gene relationships.
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One hundred bootstrap datasets were used to create the bootstrap networks to accommodate the microarray data noise and the MI estimation error.
Consequently, we programmed a computationally tractable implementation of the line cross model [21], that can accommodate random and fixed effects as required by two-color microarray data [22].
Note that our method is computationally efficient and can accommodate a very large number of time series, which is critical in analyzing genome-wide microarray data.
Human microarray platform, GPL1528; human HCC microarray data, GSE1898; mouse microarray platform, GPL1529; mouse HCC microarray data, GSE1897.
Saldana, A.J. Java Treeview - extensible visualization of microarray data.
Impute: impute: Imputation for microarray data.
microarray data reproduced, but some concerns remain.
Ball, C.A. et al. Standards for microarray data.
Quackenbush, J. Microarray data normalization and transformation.
Saldanha, A.J. Java Treevisualizationble visualizatiof of microarray data.
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