Wolf, F. Alexander
Helmholtz Munich · Institute of Computational Biology
8 papers on CoChatORCID 0000-0002-8760-7838
Most cited papers
- Verified
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 8,881
- Verified
Generalizing RNA velocity to transient cell states through dynamical modeling
Bergen, V., Lange, M., Peidli, S., Wolf, F. A., & Theis, F. J. (2020) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 2,951
- Verified
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
Wolf, F. A., Hamey, F. K., Plass, M., Solana, J., Dahlin, J. S., Göttgens, B., Rajewsky, N., Simon, L., & Theis, F. J. (2019) · Genome Biology
Single-cell and spatial transcriptomicsTopological and Geometric Data Analysis
Cited by 1,698
- Verified
Diffusion pseudotime robustly reconstructs lineage branching
Haghverdi, L., Büttner, M., Wolf, F. A., Buettner, F., & Theis, F. J. (2016) · Nature Methods
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 1,385
- Verified
scGen predicts single-cell perturbation responses
Lotfollahi, M., Wolf, F. A., & Theis, F. J. (2019) · Nature Methods
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 661
- Verified
A test metric for assessing single-cell RNA-seq batch correction
Büttner, M., Miao, Z., Wolf, F. A., Teichmann, S. A., & Theis, F. J. (2019) · Nature Methods
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 511
- Verified
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics
Plass, M., Solana, J., Wolf, F. A., Ayoub, S., Misios, A., Glažar, P., Obermayer, B., Theis, F. J., Kocks, C., & Rajewsky, N. (2018) · Science
Single-cell and spatial transcriptomicsPlanarian Biology and Electrostimulation
Cited by 474
- Verified
Predicting cellular responses to complex perturbations in high‐throughput screens
Lotfollahi, M., Klimovskaia Susmelj, A., De Donno, C., Hetzel, L., Ji, Y., Ibarra, I. L., Srivatsan, S. R., Naghipourfar, M., Daza, R. M., Martin, B., et al. (2023) · Molecular Systems Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 307
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