Mohammad Lotfollahi
Mohammad Lotfollahi
Verified email at helmholtz-muenchen.de
Title
Cited by
Cited by
Year
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
2112019
scGen predicts single-cell perturbation responses
M Lotfollahi, FA Wolf, FJ Theis
Nature methods 16 (8), 715, 2019
47*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
4*2020
Query to reference single-cell integration with transfer learning
M Lotfollahi, M Naghipourfar, MD Luecken, M Khajavi, M Buttner, Z Avsec, ...
bioRxiv, 2020
42020
Out-of-distribution prediction with disentangled representations for single-cell RNA sequencing data
M Lotfollahi, L Dony, H Agarwala, F Theis
ICML workshop in Computational Biology, 2020
2020
Learning interpretable latent autoencoder representations with annotations of feature sets
S Rybakov, M Lotfollahi, FJ Theis, FA Wolf
bioRxiv, 2020
2020
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Articles 1–6