Imputation of cancer proteomics data with a deep model that learns from many datasets

Code used to generate figures in our manuscript focusing on data imputation for mass spectrometry proteomics. If you're interested in the software tool used to impute missing values in this manuscript, you can find the Lupine package here.

Authors

Lincoln Harris & William S. Noble.
Department of Genome Sciences, University of Washington, Seattle, WA.