Exponential scaling of single-cell RNA-seq in the past decade von Svensson, Valentine, Vento-Tormo, Roser, Teichmann, Sarah A

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Interpretable factor models of single-cell RNA-seq via variational autoencoders von Svensson, Valentine, Gayoso, Adam, Yosef, Nir, Pachter, Lior

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Droplet scRNA-seq is not zero-inflated von Svensson, Valentine

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Protein velocity and acceleration from single-cell multiomics experiments von Gorin, Gennady, Svensson, Valentine, Pachter, Lior

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A curated database reveals trends in single-cell transcriptomics von Svensson, Valentine, da Veiga Beltrame, Eduardo, Pachter, Lior

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The Technology and Biology of Single-Cell RNA Sequencing von Kolodziejczyk, Aleksandra A., Kim, Jong Kyoung, Svensson, Valentine, Marioni, John C., Teichmann, Sarah A.

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Power analysis of single-cell RNA-sequencing experiments von Svensson, Valentine, Natarajan, Kedar Nath, Ly, Lam-Ha, Miragaia, Ricardo J., Labalette, Charlotte, Macaulay, Iain C., Cvejic, Ana, Teichmann, Sarah A.

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A Python library for probabilistic analysis of single-cell omics data von Gayoso, Adam, Lopez, Romain, Xing, Galen, Boyeau, Pierre, Valiollah Pour Amiri, Valeh, Hong, Justin, Wu, Katherine, Jayasuriya, Michael, Mehlman, Edouard, Langevin, Maxime, Liu, Yining, Samaran, Jules, Misrachi, Gabriel, Nazaret, Achille, Clivio, Oscar, Xu, Chenling, Ashuach, Tal, Gabitto, Mariano, Lotfollahi, Mohammad, Svensson, Valentine, da Veiga Beltrame, Eduardo, Kleshchevnikov, Vitalii, Talavera-López, Carlos, Pachter, Lior, Theis, Fabian J., Streets, Aaron, Jordan, Michael I., Regier, Jeffrey, Yosef, Nir

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Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells von Macaulay, Iain C., Svensson, Valentine, Labalette, Charlotte, Ferreira, Lauren, Hamey, Fiona, Voet, Thierry, Teichmann, Sarah A., Cvejic, Ana

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Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition von Oatley, Morgan, Bölükbası, Özge Vargel, Svensson, Valentine, Shvartsman, Maya, Ganter, Kerstin, Zirngibl, Katharina, Pavlovich, Polina V., Milchevskaya, Vladislava, Foteva, Vladimira, Natarajan, Kedar N., Baying, Bianka, Benes, Vladimir, Patil, Kiran R., Teichmann, Sarah A., Lancrin, Christophe

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MERVL/Zscan4 Network Activation Results in Transient Genome-wide DNA Demethylation of mESCs von Eckersley-Maslin, Mélanie A., Svensson, Valentine, Krueger, Christel, Stubbs, Thomas M., Giehr, Pascal, Krueger, Felix, Miragaia, Ricardo J., Kyriakopoulos, Charalampos, Berrens, Rebecca V., Milagre, Inês, Walter, Jörn, Teichmann, Sarah A., Reik, Wolf

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Reply to: UMI or not UMI, that is the question for scRNA-seq zero-inflation von Svensson, Valentine

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Single-cell RNA-sequencing resolves self-antigen expression during mTEC development von Miragaia, Ricardo J., Zhang, X., Gomes, Tomás, Svensson, V., Ilicic, T., Henriksson, J., Kar, G., Lönnberg, T.

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RNA Velocity: Molecular Kinetics from Single-Cell RNA-Seq von Svensson, Valentine, Pachter, Lior

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A method for transcriptome‐wide gene expression quantification in intact tissues von Svensson, Valentine

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SpatialDE: identification of spatially variable genes von Svensson, Valentine, Teichmann, Sarah A, Stegle, Oliver

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Computational approaches for interpreting scRNA‐seq data von Rostom, Raghd, Svensson, Valentine, Teichmann, Sarah A., Kar, Gozde

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Computational approaches for interpreting sc RNA ‐seq data von Rostom, Raghd, Svensson, Valentine, Teichmann, Sarah A., Kar, Gozde

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Single-cell analysis at the threshold von Chen, Xi, Love, J Christopher, Navin, Nicholas E, Pachter, Lior, Stubbington, Michael J T, Svensson, Valentine, Sweedler, Jonathan V, Teichmann, Sarah A

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A curated database reveals trends in single-cell transcriptomics von Svensson, Valentine, da Veiga Beltrame, Eduardo, Pachter, Lior

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