Generalizing RNA velocity to transient cell states through dynamical modeling von Bergen, Volker, Lange, Marius, Peidli, Stefan, Wolf, F. Alexander, Theis, Fabian J.

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SCANPY: large-scale single-cell gene expression data analysis von Wolf, F Alexander, Angerer, Philipp, Theis, Fabian J

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Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics von Plass, Mireya, Solana, Jordi, Wolf, F Alexander, Ayoub, Salah, Misios, Aristotelis, Glažar, Petar, Obermayer, Benedikt, Theis, Fabian J, Kocks, Christine, Rajewsky, Nikolaus

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A test metric for assessing single-cell RNA-seq batch correction von Büttner, Maren, Miao, Zhichao, Wolf, F. Alexander, Teichmann, Sarah A., Theis, Fabian J.

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PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells von Wolf, F Alexander, Hamey, Fiona K, Plass, Mireya, Solana, Jordi, Dahlin, Joakim S, Göttgens, Berthold, Rajewsky, Nikolaus, Simon, Lukas, Theis, Fabian J

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Conditional out-of-distribution generation for unpaired data using transfer VAE von Lotfollahi, Mohammad, Naghipourfar, Mohsen, Theis, Fabian J, Wolf, F Alexander

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Reconstructing cell cycle and disease progression using deep learning von Eulenberg, Philipp, Köhler, Niklas, Blasi, Thomas, Filby, Andrew, Carpenter, Anne E., Rees, Paul, Theis, Fabian J., Wolf, F. Alexander

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Imaginary-Time Matrix Product State Impurity Solver for Dynamical Mean-Field Theory von Wolf, F. Alexander, Go, Ara, McCulloch, Ian P., Millis, Andrew J., Schollwöck, Ulrich

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Predicting cellular responses to complex perturbations in high‐throughput screens von Lotfollahi, Mohammad, Klimovskaia Susmelj, Anna, De Donno, Carlo, Hetzel, Leon, Ji, Yuge, Ibarra, Ignacio L, Srivatsan, Sanjay R, Naghipourfar, Mohsen, Daza, Riza M, Martin, Beth, Shendure, Jay, McFaline‐Figueroa, Jose L, Boyeau, Pierre, Wolf, F Alexander, Yakubova, Nafissa, Günnemann, Stephan, Trapnell, Cole, Lopez‐Paz, David, Theis, Fabian J

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scGen predicts single-cell perturbation responses von Lotfollahi, Mohammad, Wolf, F. Alexander, Theis, Fabian J.

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Diffusion pseudotime robustly reconstructs lineage branching von Haghverdi, Laleh, Büttner, Maren, Wolf, F Alexander, Buettner, Florian, Theis, Fabian J

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Nonthermal Melting of Néel Order in the Hubbard Model von Balzer, Karsten, Wolf, F. Alexander, McCulloch, Ian P., Werner, Philipp, Eckstein, Martin

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Machine learning for perturbational single-cell omics von Ji, Yuge, Lotfollahi, Mohammad, Wolf, F. Alexander, Theis, Fabian J.

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Electrical and Structural Analysis of Crystal Defects After High-Temperature Rapid Thermal Annealing of Highly Boron Ion-Implanted Emitters von Krügener, Jan, Peibst, Robby, Wolf, F. Alexander, Bugiel, Eberhard, Ohrdes, Tobias, Kiefer, Fabian, Schollhorn, Claus, Grohe, Andreas, Brendel, Rolf, Osten, H. Jorg

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Model-based branching point detection in single-cell data by K-branches clustering von Chlis, Nikolaos K, Wolf, F Alexander, Theis, Fabian J

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The scverse project provides a computational ecosystem for single-cell omics data analysis von Virshup, Isaac, Bredikhin, Danila, Heumos, Lukas, Palla, Giovanni, Sturm, Gregor, Gayoso, Adam, Kats, Ilia, Koutrouli, Mikaela, Berger, Bonnie, Pe'er, Dana, Regev, Aviv, Teichmann, Sarah A, Finotello, Francesca, Wolf, F Alexander, Yosef, Nir, Stegle, Oliver, Theis, Fabian J

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A comprehensive model for the diffusion of boron in silicon in presence of fluorine von Alexander Wolf, F., Martinez-Limia, Alberto, Pichler, Peter

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Modeling the Annealing of Dislocation Loops in Implanted c-Si Solar Cells von Wolf, F. Alexander, Martinez-Limia, Alberto, Stichtenoth, Daniel, Pichler, Peter

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Diffusion and Segregation Model for the Annealing of Silicon Solar Cells Implanted With Phosphorus von Wolf, F. Alexander, Martinez-Limia, Alberto, Grote, Daniela, Stichtenoth, Daniel, Pichler, Peter

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Single cells make big data: New challenges and opportunities in transcriptomics von Angerer, Philipp, Simon, Lukas, Tritschler, Sophie, Wolf, F. Alexander, Fischer, David, Theis, Fabian J.

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