Author

Bingling Li

Sun Yat-sen UniversityORCID 0000-0002-7224-0041Unclaimed 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 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Rui YiniD· 1 shared Weijiang YuiD· 1 shared Yuansong ZengiD· 1 shared Yuchen YuaniD· 1 shared Yuedong YangiD· 1 shared Yutong LuiD· 1 shared Zhonghui TangiD· 1 shared Zhuoyi Wei· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Rui YinORCID

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1 paper

Recent·Most cited

Spatial Transcriptomics Prediction from Histology jointly through Transformer and Graph Neural Networks

Yuansong Zeng, Zhuoyi Wei, Weijiang Yu, Rui Yin, Yuchen Yuan, Bingling Li, Zhonghui Tang, Yutong Lu, Yuedong Yang

Hist2ST predicts RNA-seq expression from histology images using a deep learning model combining Transformer and graph neural networks, outperforming existing methods in gene expression prediction and spatial region identification.

Briefings in Bioinformatics · Jul 17, 2022Peer-reviewedBioinformatics