Publications

Integration and Querying of Multimodal Single-Cell Data with PoE-VAE2025

Anastasia Litinetskaya, Maiia Schulman, Fabiola Curion, Artur Szalata, Alireza Omidi, Mohammad Lotfollahi, Fabian Theis

Research in Computational Molecular Biology (RECOMB)

Figure from Integration and Querying of Multimodal Single-Cell Data with PoE-VAE

Insulin-dependent and -independent dynamics of insulin receptor trafficking in muscle cells2025

Haoning Howard Cen, Aurora J. Mattison, Alireza Omidi, Jason Rogalski, Libin Abraham, Guang Gao, Michael R. Gold, Leonard J. Foster, Jörg Gsponer, James D. Johnson

bioRxiv

Paper

Figure from Insulin-dependent and -independent dynamics of insulin receptor trafficking in muscle cells

AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions2024

Alireza Omidi, Mads Harder Møller, Nawar Malhis, Jennifer M. Bui, Jörg Gsponer

Proceedings of the National Academy of Sciences (PNAS)

Paper Code

Figure from AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions

Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases2024

Anastasia Litinetskaya, Maiia Shulman, Soroor Hediyeh-zadeh, Amir Ali Moinfar, Fabiola Curion, Artur Szałata, Alireza Omidi, Mohammad Lotfollahi, Fabian J. Theis

bioRxiv

Paper Code

Figure from Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases

Learning Cancer Progression Network from Mutation Allele Frequencies2020

Mohammad Sadegh Akhondzadeh, Alireza Omidi, Zeinab Maleki, Kevin Coombes, Amanda E. Toland, Amir Asiaee

ICML Workshop on Computational Biology

Paper Code

Figure from Learning Cancer Progression Network from Mutation Allele Frequencies

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