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Statistical methods for high-dimensional biological data

The quest for understanding of biological processes on the molecular level has become a central aim in current scientific research. Applications are manifold including areas such molecular developmental biology and the etiology, treatment, diagnosis and prognosis of cancer or other complex genetic diseases. Important statistical challenges include inference for transcriptional regulation and stem-cell reprogramming using large p small n network models, [C, P, S].

Researchers in this area: Brettschneider, Finkenstädt, Rand