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Introduction. Reverse engineering of genetic regulatory networks (GRNs) from the expression levels of thousands of genes over time is a central problem in systems biology. A number of approaches have been developed, with effort from the biology, statistics and machine learning communities. The difficulty lies with the very large number of variables and(More)
Introduction Conclusions References Tables Figures Back Close Full Screen / Esc This discussion paper is/has been under review for the journal Climate of the Past (CP). Please refer to the corresponding final paper in CP if available. Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract We present statistical(More)
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