Making sense of single-cell data requires various computational efforts such as clustering, visualization and gene regulatory network inference, often addressed by different methods. DeepSEM provides an all-in-one solution.
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References
Stuart, T. & Satija, R. Nat. Rev. Genet. 20, 257–272 (2019).
Fiers, M. W. E. J. et al. Brief. Funct. Genom. 17, 246–254 (2018).
Shu, H. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00099-8 (2021).
Moerman, T. et al. Bioinformatics 35, 2159–2161 (2019).
Higgins, I. et al. in Int. Conf. Learning Representations (ICLR, 2017).
Pratapa, A., Jalihal, A. P., Law, J. N., Bharadwaj, A. & Murali, T. M. Nat. Methods 17, 147–154 (2020).
Huynh-Thu, V. A., Irrthum, A., Wehenkel, L. & Geurts, P. PLoS ONE 5, e12776 (2010).
Lopez, R., Regier, J., Cole, M. B., Jordan, M. I. & Yosef, N. Nat. Methods 15, 1053–1058 (2018).
Marouf, M. et al. Nat. Commun. 11, 166 (2020).
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Ding, J. A versatile model for single-cell data analysis. Nat Comput Sci 1, 460–461 (2021). https://doi.org/10.1038/s43588-021-00103-1
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DOI: https://doi.org/10.1038/s43588-021-00103-1
