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🦁
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Deep packet: a novel approach for encrypted traffic classification using deep learning
M. Lotfollahi,
Mahdi Jafari Siavoshani,
Ramin Shirali Hossein Zade,
Mohammdsadegh Saberian
|
9 |
2017 |
9
🦁
|
|
🐜
|
Squidpy: a scalable framework for spatial omics analysis
13 auth.
G. Palla,
H. Spitzer,
Michal Klein,
David S. Fischer,
A. C. Schaar,
L. B. Kuemmerle,
Sergei Rybakov,
I. Ibarra,
Olle Holmberg,
I. Virshup,
...
M. Lotfollahi,
Sabrina Richter,
Fabian J Theis
|
8 |
2022 |
8
🐜
|
|
🦁
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scGen predicts single-cell perturbation responses
M. Lotfollahi,
F. A. Wolf,
Fabian J Theis
|
8 |
2019 |
8
🦁
|
|
🐜
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A Python library for probabilistic analysis of single-cell omics data
29 auth.
Adam Gayoso,
Romain Lopez,
Galen K. Xing,
Pierre Boyeau,
Valeh Valiollah Pour Amiri,
Justin Hong,
Katherine Wu,
Michael Jayasuriya,
Edouard Mehlman,
Maxime Langevin,
Yining Liu,
Jules Samaran,
Gabriel Misrachi,
Achille Nazaret,
Oscar Clivio,
...
Chenling A. Xu,
Tal Ashuach,
Mariano I. Gabitto,
M. Lotfollahi,
Valentine Svensson,
Eduardo da Veiga Beltrame,
Vitalii Kleshchevnikov,
Carlos Talavera-López,
L. Pachter,
Fabian J Theis,
Aaron M. Streets,
Michael I. Jordan,
J. Regier,
N. Yosef
|
8 |
2022 |
8
🐜
|
|
🦁
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Mapping single-cell data to reference atlases by transfer learning
13 auth.
M. Lotfollahi,
Mohsen Naghipourfar,
Malte D. Luecken,
Matin Khajavi,
M. Büttner,
Marco Wagenstetter,
Žiga Avsec,
Adam Gayoso,
N. Yosef,
M. Interlandi,
...
Sergei Rybakov,
A. Misharin,
Fabian J Theis
|
8 |
2021 |
8
🦁
|
|
🐜
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An integrated cell atlas of the lung in health and disease
97 auth.
L. Sikkema,
C. Ramírez-Suástegui,
Daniela Strobl,
Tessa E. Gillett,
L. Zappia,
E. Madissoon,
N. Markov,
L. Zaragosi,
Yuge Ji,
M. Ansari,
M. Arguel,
L. Apperloo,
M. Banchero,
C. Bécavin,
M. Berg,
...
E. Chichelnitskiy,
M. Chung,
Antoine Collin,
Aurore C. A. Gay,
Janine Gote-Schniering,
B. Hooshiar Kashani,
Kemal Inecik,
M. Jain,
T. Kapellos,
T. Kole,
S. Leroy,
C. Mayr,
A. Oliver,
Michael von Papen,
L. Peter,
Chase J. Taylor,
T. Walzthoeni,
Chuan Xu,
L. T. Bui,
C. De Donno,
L. Dony,
A. Faiz,
M. Guo,
A. Gutierrez,
L. Heumos,
N. Huang,
I. Ibarra,
Nathan D. Jackson,
P. Kadur Lakshminarasimha Murthy,
M. Lotfollahi,
T. Tabib,
Carlos Talavera-López,
K. Travaglini,
A. Wilbrey-Clark,
Kaylee B. Worlock,
M. Yoshida,
Yuexin Chen,
Jim Hagood,
A. Agami,
Peter Horvath,
J. Lundeberg,
C. Marquette,
G. Pryhuber,
Chistos Samakovlis,
Xin Sun,
L. Ware,
Kun Zhang,
M. van den Berge,
Y. Bossé,
T. Desai,
O. Eickelberg,
N. Kaminski,
M. Krasnow,
R. Lafyatis,
M. Nikolić,
J. Powell,
J. Rajagopal,
M. Rojas,
O. Rozenblatt-Rosen,
M. Seibold,
D. Sheppard,
D. Shepherd,
D. D. Sin,
W. Timens,
Alexander M. Tsankov,
J. Whitsett,
Yan Xu,
N. Banovich,
P. Barbry,
T. Duong,
C. Falk,
K. Meyer,
JA Kropski,
D. Pe’er,
H. Schiller,
P. R. Tata,
J. Schultze,
Sarah A. Teichmann,
A. Misharin,
M. Nawijn,
Malte D. Luecken,
F. Theis
|
8 |
2023 |
8
🐜
|
|
🐜
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The scverse project provides a computational ecosystem for single-cell omics data analysis
37 auth.
I. Virshup,
Danila Bredikhin,
L. Heumos,
G. Palla,
G. Sturm,
Adam Gayoso,
Ilia Kats,
Mikaela Koutrouli,
Philipp Angerer,
Volker Bergen,
Pierre Boyeau,
M. Büttner,
Gökçen Eraslan,
David S. Fischer,
Max Frank,
...
Justin Hong,
Michal Klein,
Marius Lange,
Romain Lopez,
M. Lotfollahi,
Malte Luecken,
F. Ramírez,
J. Regier,
Sergei Rybakov,
A. C. Schaar,
Valeh Valiollah Pour Amiri,
P. Weiler,
Galen K. Xing,
Bonnie Berger,
D. Pe’er,
A. Regev,
Sarah A. Teichmann,
F. Finotello,
F. A. Wolf,
N. Yosef,
O. Stegle,
F. Theis
|
6 |
2023 |
6
🐜
|
|
🦁
|
Predicting cellular responses to complex perturbations in high‐throughput screens
19 auth.
M. Lotfollahi,
Anna Klimovskaia Susmelj,
C. De Donno,
Leon Hetzel,
Yuge Ji,
Ignacio L Ibarra,
Sanjay R Srivatsan,
Mohsen Naghipourfar,
R. Daza,
Beth K. Martin,
...
J. Shendure,
José L. McFaline-Figueroa,
Pierre Boyeau,
F. A. Wolf,
N. Yakubova,
Stephan Günnemann,
C. Trapnell,
David Lopez-Paz,
Fabian J Theis
|
6 |
2023 |
6
🦁
|
|
🦁
|
Conditional out-of-distribution generation for unpaired data using transfer VAE
M. Lotfollahi,
Mohsen Naghipourfar,
Fabian J Theis,
F. A. Wolf
|
6 |
2020 |
6
🦁
|
|
🐬
|
Machine learning for perturbational single-cell omics.
Yuge Ji,
M. Lotfollahi,
F. A. Wolf,
Fabian J Theis
|
6 |
2021 |
6
🐬
|
|
🐜
|
An integrated cell atlas of the human lung in health and disease
74 auth.
L. Sikkema,
D. Strobl,
L. Zappia,
E. Madissoon,
N. Markov,
L. Zaragosi,
M. Ansari,
M. Arguel,
L. Apperloo,
C. Bécavin,
M. Berg,
E. Chichelnitskiy,
M. Chung,
A. Collin,
A. Gay,
...
B. Hooshiar Kashani,
M. Jain,
T. Kapellos,
Tessa M Kole,
C. Mayr,
M. von Papen,
L. Peter,
C. Ramírez-Suástegui,
J. Schniering,
C. Taylor,
T. Walzthoeni,
C. Xu,
LT Bui,
C. De Donno,
L. Dony,
M. Guo,
AJ Gutierrez,
L. Heumos,
N. Huang,
I. Ibarra,
N. Jackson,
P. Kadur Lakshminarasimha Murthy,
M. Lotfollahi,
T. Tabib,
Carlos Talavera-López,
K. Travaglini,
A. Wilbrey-Clark,
Kaylee B. Worlock,
M. Yoshida,
T. Desai,
O. Eickelberg,
C. Falk,
N. Kaminski,
M. Krasnow,
R. Lafyatis,
M. Nikolić,
J. Powell,
J. Rajagopal,
O. Rozenblatt-Rosen,
M. Seibold,
D. Sheppard,
D. Shepherd,
Sarah A. Teichmann,
A. Tsankov,
J. Whitsett,
Y. Xu,
N. Banovich,
P. Barbry,
Teressa A. Duong,
K. Meyer,
JA Kropski,
D. Pe’er,
H. Schiller,
Pramila Tata,
J. Schultze,
A. Misharin,
M. Nawijn,
Malte D. Luecken,
F. Theis
|
6 |
2022 |
6
🐜
|
