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. Author manuscript; available in PMC: 2024 Nov 14.
Published in final edited form as: Nat Biotechnol. 2024 Jan 10;42(11):1726–1734. doi: 10.1038/s41587-023-02082-2

Extended Data Fig. 9 |. Adversarial autoencoder (AAE) based model for anchor-free generation of scRNA-seq from Raman profiles.

Extended Data Fig. 9 |

Top: Two autoencoders (AEs) – one for Raman and the other for scRNA-seq – are trained adversarially to learn two indistinguishable latent spaces. Once a common latent space is found, new Raman spectra are encoded using the encoder part of the Raman AE and decoded to scRNA-seq using the decoder part of the scRNA-seq AE (bottom).