A new computational method integrates RNA single-cell sequencing and spatial data.
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Change history
21 December 2018
The originally published version of this Research Highlight incorrectly stated that Guo-Cheng Yuan is at the University of California at Los Angeles; the correct affiliation is Dana-Farber Cancer Institute. The text has been corrected in the HTML and PDF versions of the paper.
Research papers
Zhu, Q. et al. Identification of spatially associated subpopulations by combining scrNAseq and sequential fluorescence in situ hybridization data. Nat. Biotechnol. https://doi.org/10.1038/nbt.4260 (2018).
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Nawy, T. Sequence meets space. Nat Methods 15, 1000 (2018). https://doi.org/10.1038/s41592-018-0243-4
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DOI: https://doi.org/10.1038/s41592-018-0243-4
