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COMPUTATIONAL BIOLOGY

Integrative analysis methods for spatial transcriptomics

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Computational methods use different integrative strategies to tackle the challenges of spatially resolved transcriptomics data analysis.

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Fig. 1: Schematic comparison of SpaGCN and Tangram analysis methods for spatially resolved transcriptomics.

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Acknowledgements

S.L. is supported by the Edward and Martha Gerry Fellowship funded by The William Stamps Farish Fund and the Gladys and Roland Harriman Foundation. D.F. is supported by a NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation. J. G. is supported by NIH grants R01MH113005 and R01LM012736.

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  1. Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA

    Shaina Lu, Daniel Fürth & Jesse Gillis

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  1. Shaina Lu
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  2. Daniel Fürth
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  3. Jesse Gillis
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Correspondence to Jesse Gillis.

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Lu, S., Fürth, D. & Gillis, J. Integrative analysis methods for spatial transcriptomics. Nat Methods 18, 1282–1283 (2021). https://doi.org/10.1038/s41592-021-01272-7

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