Computational methods use different integrative strategies to tackle the challenges of spatially resolved transcriptomics data analysis.
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References
Scalia, G. et al. Nat. Methods https://doi.org/10.1038/s41592-021-01264-7 (2021).
Hu, J. et al. Nat. Methods https://doi.org/10.1038/s41592-021-01255-8 (2021).
Svensson, V., Teichmann, S. A. & Stegle, O. Nat. Methods 15, 343–346 (2018).
Edsgärd, D., Johnsson, P. & Sandberg, R. Nat. Methods 15, 339–342 (2018).
Asp, M., Bergenstråhle, J. & Lundeberg, J. Mol. Cell. Dev. Biol. 42, e1900221 (2020).
La Manno, G. et al. Nature 596, 92–96 (2021).
Di Bella, D. J. et al. Nature 595, 554–559 (2021).
Srivatsan, S. R. et al. Science 373, 111–117 (2021).
Regev, A. et al. eLife 6, e27041 (2017).
Wagner, D. E. & Klein, A. M. Nat. Rev. Genet. 21, 410–427 (2020).
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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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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DOI: https://doi.org/10.1038/s41592-021-01272-7