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A nonparametric statistical method for deconvolving densities in the analysis of proteomic data

Anarat, Akin et al.
arXiv (All) · Papers
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applicationsmethodology
Background: Genomic or proteomic data are frequently affected by noise or are convolutions of different biological signals. This is particularly relevant in skin aging research, in which intrinsic aging, driven by genetic factors, and extrinsic aging, caused by environmental exposure, are investigat
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