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Pattern recognition in imaging data by >300,000 players of a global, online, commercial computer game is combined with deep learning to improve the accuracy of annotation of subcellular protein localization.
Differences in gene expression between individual cells of the same type are measured across batches and used to correct technical artifacts in single-cell RNA-sequencing data.
A new computational approach enables integrative analysis of disparate single-cell RNA–sequencing data sets by identifying shared patterns of variation between cell subpopulations.