Mohammad Lotfollahi
Mohammad Lotfollahi
PhD Candidate at Helmholtz Zentrum München
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
2432019
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
52020
Learning interpretable latent autoencoder representations with annotations of feature sets
S Rybakov, M Lotfollahi, FJ Theis, FA Wolf
bioRxiv, 2020
12020
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
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Articles 1–7