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Functional modules from variable genes: Leveraging percolation to analyze noisy, high-dimensional data
While measurement advances now allow extensive surveys of gene activity (large numbers of genes across many samples), interpretation of these data is often confounded by noise -- expression counts can differ strongly across samples due to variation of both biological and experimental origin.
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