Deep packet: A novel approach for encrypted traffic classification using deep learning M Lotfollahi, MJ Siavoshani, RSH Zade, M Saberian Soft Computing, 1-14, 2019 | 243 | 2019 |
scGen predicts single-cell perturbation responses M Lotfollahi, FA Wolf, FJ Theis Nature methods 16 (8), 715, 2019 | 55* | 2019 |
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 | 7* | 2020 |
Query to reference single-cell integration with transfer learning M Lotfollahi, M Naghipourfar, MD Luecken, M Khajavi, M Buttner, Z Avsec, ... bioRxiv, 2020 | 5 | 2020 |
Learning interpretable latent autoencoder representations with annotations of feature sets S Rybakov, M Lotfollahi, FJ Theis, FA Wolf bioRxiv, 2020 | 1 | 2020 |
Squidpy: a scalable framework for spatial single cell analysis G Palla, H Spitzer, M Klein, D Fischer, AC Schaar, LB Kuemmerle, ... bioRxiv, 2021 | | 2021 |
Out-of-distribution prediction with disentangled representations for single-cell RNA sequencing data M Lotfollahi, L Dony, H Agarwala, F Theis ICML 2020 Workshop on Computational Biology (WCB) Proceedings Paper 37, 2020 | | 2020 |