SCANPY: large-scale single-cell gene expression data analysis FA Wolf, P Angerer, FJ Theis Genome Biology 19, 15, 2018 | 4915 | 2018 |
Generalizing RNA velocity to transient cell states through dynamical modeling V Bergen, M Lange, S Peidli, FA Wolf†, FJ Theis† Nature Biotechnology, 2020 | 1752 | 2020 |
Diffusion pseudotime robustly reconstructs lineage branching L Haghverdi, M Buettner, FA Wolf, F Buettner, FJ Theis Nature Methods 13, 845-848, 2016 | 1195 | 2016 |
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells FA Wolf, FK Hamey, M Plass, [...], N Rajewsky, L Simon, FJ Theis Genome Biology 20, 59, 2019 | 1149 | 2019 |
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics M Plass*, J Solana*, FA Wolf, [...], FJ Theis, C Kocks, N Rajewsky Science 360 (6391), eaaq1723, 2018 | 458 | 2018 |
scGen predicts single-cell perturbation responses M Lotfollahi, FA Wolf†, FJ Theis† Nature methods 16 (8), 715-721, 2019 | 358 | 2019 |
A test metric for assessing single-cell RNA-seq batch correction M Büttner*, Z Miao*, FA Wolf, SA Teichmann†, FJ Theis† Nature Methods 16, 43, 2019 | 356 | 2019 |
Generalized Gibbs ensemble prediction of prethermalization plateaus and their relation to nonthermal steady states in integrable systems M Kollar, FA Wolf, M Eckstein Physical Review B 84 (5), 054304, 2011 | 345 | 2011 |
Reconstructing cell cycle and disease progression using deep learning P Eulenberg*, N Koehler*, T Blasi, [...], P Rees, FJ Theis†, FA Wolf† Nature Communications 8, 463, 2017 | 273 | 2017 |
Single cells make big data: new challenges and opportunities in transcriptomics P Angerer, L Simon, S Tritschler, FA Wolf, D Fischer, FJ Theis Current Opinion in Systems Biology 4, 85-91, 2017 | 211 | 2017 |
Strictly Single-Site DMRG Algorithm with Subspace Expansion C Hubig, IP McCulloch, U Schollwöck, FA Wolf Physical Review B 91 (15), 155115, 2015 | 183 | 2015 |
Solving nonequilibrium dynamical mean-field theory using matrix product states FA Wolf, IP McCulloch, U Schollwöck Physical Review B 90 (23), 235131, 2014 | 130 | 2014 |
anndata: Annotated data I Virshup, S Rybakov, FJ Theis, P Angerer†, FA Wolf† bioRxiv, 2021 | 117 | 2021 |
Chebyshev matrix product state impurity solver for dynamical mean-field theory FA Wolf, IP McCulloch, O Parcollet, U Schollwöck Physical Review B 90 (11), 115124, 2014 | 115 | 2014 |
Predicting cellular responses to complex perturbations in high‐throughput screens M Lotfollahi, A Klimovskaia Susmelj, C De Donno, L Hetzel, Y Ji, IL Ibarra, ... Molecular systems biology 19 (6), e11517, 2023 | 112* | 2023 |
Imaginary-time matrix product state impurity solver for dynamical mean-field theory FA Wolf, A Go, IP McCulloch, AJ Millis, U Schollwöck Physical Review X 5 (4), 041032, 2015 | 103 | 2015 |
Conditional out-of-distribution generation for unpaired data using transfer VAE M Lotfollahi, M Naghipourfar, FJ Theis†, FA Wolf† Bioinformatics 36 (Supplement_2), i610-i617, 2020 | 93* | 2020 |
Exact real-time dynamics of the quantum Rabi model FA Wolf, M Kollar, D Braak Physical Review A 85 (5), 053817, 2012 | 80 | 2012 |
Machine learning for perturbational single-cell omics Y Ji, M Lotfollahi, FA Wolf, FJ Theis Cell Systems 12 (6), 522-537, 2021 | 79 | 2021 |
New theoretical approaches for correlated systems in nonequilibrium M Eckstein, A Hackl, S Kehrein, M Kollar, M Moeckel, P Werner, FA Wolf The European Physical Journal Special Topics 180, 217-235, 2009 | 76 | 2009 |