Comprehensive integration of single cell data

@article{Stuart2018ComprehensiveIO,
  title={Comprehensive integration of single cell data},
  author={Tim Stuart and Andrew Butler and Paul J Hoffman and Christoph Hafemeister and Efthymia Papalexi and William M. Mauck and Marlon Stoeckius and Peter Smibert and Rahul Satija},
  journal={bioRxiv},
  year={2018}
}
Single cell transcriptomics (scRNA-seq) has transformed our ability to discover and annotate cell types and states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, including high-dimensional immunophenotypes, chromatin accessibility, and spatial positioning, a key analytical challenge is to integrate these datasets into a harmonized atlas that can be used to better understand cellular identity… Expand
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