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Andrew J Kavran
University of Colorado Boulder
Filter (signal processing)Synthetic dataNoise reductionBiological dataInteraction network
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#1Andrew J Kavran (CU: University of Colorado Boulder)
#2Aaron Clauset (CU: University of Colorado Boulder)H-Index: 33
Large-scale biological data sets, e.g., transcriptomic, proteomic, or ecological, are often contaminated by noise, which can impede accurate inferences about underlying processes. Such measurement noise can arise from endogenous biological factors like cell cycle and life history variation, and from exogenous technical factors like sample preparation and instrument variation. Here we describe a general method for automatically reducing noise in large-scale biological data sets. This method uses ...
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