Author

Nan Duan

Microsoft (United States)ORCID 0000-0002-3387-4674Unclaimed 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:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Approach:transformer / foundation model· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Bo WangiD· 2 shared Chloe WangiD· 2 shared Haotian CuiiD· 2 shared Hassaan MaaniD· 2 shared Fengning Luo· 1 shared Kuan PangiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Bo WangORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedFeb 26, 2024

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI

Haotian Cui, Chloe Wang, Hassaan Maan…·Bo Wang

A generative transformer pretrained on over 33 million cells can be fine-tuned for cell-type annotation, batch and multi-omic integration, perturbation prediction and gene network inference, claiming superior performance.

1,415 citationstop 1%

scRNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 20, 2022

scFormer: A Universal Representation Learning Approach for Single-Cell Data Using Transformers

Haotian Cui, Chloe Wang, Hassaan Maan…·Bo Wang

scFormer uses transformers to learn cell and gene embeddings for single-cell data, achieving state-of-the-art results on multiple tasks.

9 citations

scRNA-seqtransformer / foundation model

𝕏 PostBluesky