Author

Taifeng Wang

ORCID 0009-0007-1116-0228Unclaimed ORCID profile · follow to get notified of new preprints

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Taifeng Wang1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chi-Ming LiuiD· 2 shared Jianzhu MaiD· 2 shared Jing GongiD· 2 shared Le SongiD· 2 shared Minsheng HaoiD· 2 shared Xin Ying ZengiD· 2 shared Xingyi ChengiD· 2 shared Xuegong ZhangiD· 2 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Chi-Ming LiuORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedJun 6, 2024

Large Scale Foundation Model on Single-cell Transcriptomics

Minsheng Hao, Jing Gong, Xin Ying Zeng…·Le Song

This paper introduces scFoundation, a large-scale pretrained model for single-cell transcriptomics, achieving state-of-the-art results in multiple downstream tasks.

640 citationstop 1%

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 24, 2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Jing Gong, Minsheng Hao, Xin Ying Zeng…·Le Song

xTrimoGene is a scalable transformer model for scRNA-seq data that reduces computational demands while maintaining accuracy, achieving state-of-the-art results in downstream tasks.

30 citations

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