Author

Jie Sheng

Beijing Proteome Research Center

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Biology Disciplines

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Bioinformatics· 2

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Organism:non-human primate· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Cheng ChangiD· 1 shared Daifeng WangiD· 1 shared Jinghan YangiD· 1 shared Ping XuiD· 1 shared Xiuhan Ren· 1 shared Yan FuiD· 1 shared Zhiqiang GaoiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

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7 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Cheng ChangORCID

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2 papers

Recent·Most cited

VAPOR: A variational autoencoder with transport operators to disentangle cellular gene expression dynamics of co-occurring biological processes in time and space

Jie Sheng, Daifeng Wang

VAPOR disentangles co-occurring biological processes in gene expression dynamics using a variational autoencoder with transport operators, applied to single-cell and spatial transcriptomics data.

bioRxiv · Oct 27, 2024 · PreprintBioinformatics

DeepDigest: prediction of protein proteolytic digestion with deep learning

Jinghan Yang, Zhiqiang Gao, Xiuhan Ren, Jie Sheng, Ping Xu, Cheng Chang, Yan Fu

DeepDigest predicts proteolytic cleavage sites for eight proteases using a deep learning model, outperforming traditional methods across multiple datasets.

Analytical Chemistry · Apr 7, 2021Peer-reviewedBioinformatics