Author

Abdulrahman Takiddeen

McGill UniversityORCID 0009-0009-8633-5162Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Amin EmadiD· 1 shared Yazdan ZinatiiD· 1 shared

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2024-2024 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Amin EmadORCID

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1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedMay 14, 2024

GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks

Yazdan Zinati, Abdulrahman Takiddeen, Amin Emad

GRouNdGAN simulates single-cell RNA-seq data using causal generative adversarial networks guided by gene regulatory networks, outperforming existing simulators and enabling in-silico perturbation experiments.

36 citationstop 3%

scRNA-seqdeep learning

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