Boolean implication networks derived from large scale,whole genome microarray datasets |
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| Authors: | Debashis Sahoo David L Dill Andrew J Gentles Robert Tibshirani Sylvia K Plevritis |
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| Institution: | (1) Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA;(2) Department of Computer Science, Stanford University, Stanford, CA 94305, USA;(3) Department of Radiology, Stanford University, Stanford, CA 94305, USA;(4) Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305, USA |
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| Abstract: | We describe a method for extracting Boolean implications (if-then relationships) in very large amounts of gene expression
microarray data. A meta-analysis of data from thousands of microarrays for humans, mice, and fruit flies finds millions of
implication relationships between genes that would be missed by other methods. These relationships capture gender differences,
tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three
species. |
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