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F Alexander Wolf

Showing results (1-10 of 13) with videos related to

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Nature Methods|August 1, 2019
scGen predicts single-cell perturbation responsesMohammad Lotfollahi, F Alexander Wolf, Fabian J Theis
Genome Biology|February 8, 2018
SCANPY: large-scale single-cell gene expression data analysisF Alexander Wolf, Philipp Angerer, Fabian J Theis
Bioinformatics (Oxford, England)|June 6, 2017
Model-based branching point detection in single-cell data by K-branches clusteringNikolaos K Chlis, F Alexander Wolf, Fabian J Theis
Cell Systems|June 17, 2021
Machine learning for perturbational single-cell omicsYuge Ji, Mohammad Lotfollahi, F Alexander Wolf, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Conditional out-of-distribution generation for unpaired data using transfer VAEMohammad Lotfollahi, Mohsen Naghipourfar, Fabian J Theis, et al.
Nature Biotechnology|August 5, 2020
Generalizing RNA velocity to transient cell states through dynamical modelingVolker Bergen, Marius Lange, Stefan Peidli, et al.
Nature Methods|August 30, 2016
Diffusion pseudotime robustly reconstructs lineage branchingLaleh Haghverdi, Maren Büttner, F Alexander Wolf, et al.
Nature Methods|December 22, 2018
A test metric for assessing single-cell RNA-seq batch correctionMaren Büttner, Zhichao Miao, F Alexander Wolf, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Science (New York, N.Y.)|April 21, 2018
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomicsMireya Plass, Jordi Solana, F Alexander Wolf, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Nature Methods|August 1, 2019
scGen predicts single-cell perturbation responsesMohammad Lotfollahi, F Alexander Wolf, Fabian J Theis
Genome Biology|February 8, 2018
SCANPY: large-scale single-cell gene expression data analysisF Alexander Wolf, Philipp Angerer, Fabian J Theis
Bioinformatics (Oxford, England)|June 6, 2017
Model-based branching point detection in single-cell data by K-branches clusteringNikolaos K Chlis, F Alexander Wolf, Fabian J Theis
Cell Systems|June 17, 2021
Machine learning for perturbational single-cell omicsYuge Ji, Mohammad Lotfollahi, F Alexander Wolf, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Conditional out-of-distribution generation for unpaired data using transfer VAEMohammad Lotfollahi, Mohsen Naghipourfar, Fabian J Theis, et al.
Nature Biotechnology|August 5, 2020
Generalizing RNA velocity to transient cell states through dynamical modelingVolker Bergen, Marius Lange, Stefan Peidli, et al.
Nature Methods|August 30, 2016
Diffusion pseudotime robustly reconstructs lineage branchingLaleh Haghverdi, Maren Büttner, F Alexander Wolf, et al.
Nature Methods|December 22, 2018
A test metric for assessing single-cell RNA-seq batch correctionMaren Büttner, Zhichao Miao, F Alexander Wolf, et al.
Nature Communications|September 8, 2017
Reconstructing cell cycle and disease progression using deep learningPhilipp Eulenberg, Niklas Köhler, Thomas Blasi, et al.
Science (New York, N.Y.)|April 21, 2018
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomicsMireya Plass, Jordi Solana, F Alexander Wolf, et al.
Pageof 2