Article

Denoising large-scale biological data using network filters

2020-03-14

Abstract excerpt

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...

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Literature Corpus work: 71ca4a5c-c320-54a3-bbe8-332a56581e1a
DOI: 10.1101/2020.03.12.989244

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