Computational methods for single-cell omics across modalities

Mirjana Efremova¹, Sarah A Teichmann^{2

3}

Affiliations

¹ Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
² Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK. st9@sanger.ac.uk.
³ Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, UK. st9@sanger.ac.uk.

Mirjana Efremova et al. Nat Methods. 2020 Jan.

. 2020 Jan;17(1):14-17.

doi: 10.1038/s41592-019-0692-4.

Mirjana Efremova¹, Sarah A Teichmann^{2

3}

¹ Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
² Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK. st9@sanger.ac.uk.
³ Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge, UK. st9@sanger.ac.uk.

No abstract available

References

1. Stuart, T. et al. Cell 177, 1888–1902.e21 (2019). - DOI
1. Welch, J. D. et al. Cell 177, 1873–1887.e17 (2019). - DOI
1. Lopez, R. et al. A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. Preprint at arXiv https://arxiv.org/abs/1905.02269 (2019).
1. Kester, L. & van Oudenaarden, A. Cell Stem Cell 23, 166–179 (2018). - DOI
1. Ludwig, L. S. et al. Cell 176, 1325–1339.e22 (2019). - DOI