Submodular sketches of single-cell RNA-seq measurements
Wei YangiD, Jacob Matthew SchreiberiD, Jeffrey A. BilmesiD, William Stafford NobleiD
Abstract
Analyzing and sharing massive single-cell RNA-seq data sets can be facilitated by creating a "sketch" of the data--a selected subset of cells that accurately represent the full data set. Using an existing benchmark, we demonstrate the utility of submodular optimization in efficiently creating high quality sketches of scRNA-seq data.
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